[go: up one dir, main page]

CN118914701A - Fault diagnosis system of electromagnetic brake - Google Patents

Fault diagnosis system of electromagnetic brake Download PDF

Info

Publication number
CN118914701A
CN118914701A CN202410961191.1A CN202410961191A CN118914701A CN 118914701 A CN118914701 A CN 118914701A CN 202410961191 A CN202410961191 A CN 202410961191A CN 118914701 A CN118914701 A CN 118914701A
Authority
CN
China
Prior art keywords
electromagnetic brake
monitoring
electromagnetic
vibration
fault
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202410961191.1A
Other languages
Chinese (zh)
Other versions
CN118914701B (en
Inventor
王树梅
杨润贤
吕志香
许晓东
陶涛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Yangzhou Polytechnic Institute
Original Assignee
Yangzhou Polytechnic Institute
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Yangzhou Polytechnic Institute filed Critical Yangzhou Polytechnic Institute
Priority to CN202410961191.1A priority Critical patent/CN118914701B/en
Publication of CN118914701A publication Critical patent/CN118914701A/en
Application granted granted Critical
Publication of CN118914701B publication Critical patent/CN118914701B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Valves And Accessory Devices For Braking Systems (AREA)

Abstract

本发明公开了一种电磁闸的故障诊断系统,具体涉及电磁闸故障诊断技术领域,包括电磁闸运行周期划分模块、电磁闸故障数据采集模块、电磁闸振动数据处理模块、电磁闸线圈数据处理模块、电磁闸磁力数据处理模块、电磁闸故障诊断分析模块、电磁闸故障诊断评估模块,本发明通过传感器采集电磁闸运行周期各监测子区域的运行关键参数信息,计算得到电磁闸振动异常监测指数、电磁闸线圈风险监测指数和电磁闸运行稳定指数,进一步分析第i+1个监测子区域的运行故障预警系数,有利于实现自动化的故障诊断流程,同时能够根据历史数据和当前运行状态,预测可能的故障发生,为管理人员提供科学的决策建议,实现故障诊断的智能化。

The present invention discloses a fault diagnosis system for an electromagnetic brake, and specifically relates to the technical field of electromagnetic brake fault diagnosis, including an electromagnetic brake operation cycle division module, an electromagnetic brake fault data acquisition module, an electromagnetic brake vibration data processing module, an electromagnetic brake coil data processing module, an electromagnetic brake magnetic force data processing module, an electromagnetic brake fault diagnosis analysis module, and an electromagnetic brake fault diagnosis evaluation module. The present invention collects key operation parameter information of each monitoring sub-area of the electromagnetic brake operation cycle through a sensor, calculates the electromagnetic brake vibration anomaly monitoring index, the electromagnetic brake coil risk monitoring index and the electromagnetic brake operation stability index, and further analyzes the operation fault warning coefficient of the i+1th monitoring sub-area, which is conducive to realizing an automated fault diagnosis process. At the same time, it can predict possible faults based on historical data and the current operation status, provide scientific decision-making suggestions for management personnel, and realize intelligent fault diagnosis.

Description

一种电磁闸的故障诊断系统A fault diagnosis system for electromagnetic brake

技术领域Technical Field

本发明涉及电磁闸故障诊断技术领域,更具体地说,本发明涉及一种电磁闸的故障诊断系统。The present invention relates to the technical field of electromagnetic brake fault diagnosis, and more specifically, to an electromagnetic brake fault diagnosis system.

背景技术Background Art

电磁闸是一种利用电磁力来控制闸板开闭的阀门,主要由电磁铁、阀体、闸板等部分组成,电磁铁是控制部分,通过电流的通断来控制阀门的开启与关闭;阀体和闸板是执行部分,负责流体的截断和导通。An electromagnetic gate is a valve that uses electromagnetic force to control the opening and closing of a gate. It is mainly composed of an electromagnet, a valve body, a gate and other parts. The electromagnet is the control part, which controls the opening and closing of the valve by switching on and off the current; the valve body and the gate are the executive parts, which are responsible for the cutoff and conduction of the fluid.

电磁闸作为工业自动化关键元件,其故障诊断技术至关重要。它能迅速定位并解决故障,提高生产效率;及时发现并消除安全隐患,保障生产安全;通过预防性维护减少突发故障,降低维护成本,对工业生产的稳定与高效运行具有重大意义。As a key component of industrial automation, electromagnetic brake fault diagnosis technology is crucial. It can quickly locate and solve faults, improve production efficiency, timely discover and eliminate safety hazards, ensure production safety, reduce sudden failures through preventive maintenance, and reduce maintenance costs, which is of great significance to the stable and efficient operation of industrial production.

但是其在实际使用时,仍旧存在一些缺点,如现有的电磁闸故障检测方法受检测原理或检测环境的限制,电磁环境中存在各种干扰源,导致难以准确捕捉故障特征,存在检测精度不够的问题;However, there are still some shortcomings in its actual use. For example, the existing electromagnetic brake fault detection method is limited by the detection principle or detection environment. There are various interference sources in the electromagnetic environment, which makes it difficult to accurately capture the fault characteristics and has the problem of insufficient detection accuracy.

现有的电磁闸故障检测技术主要依赖于人工检测,这种方法不仅效率低下,而且受限于人为因素,难以充分发挥设备诊断方法的智能性,而电磁闸的故障类型多种多样,需要建立智能化的故障诊断流程,以融合来自不同传感器的数据。The existing electromagnetic brake fault detection technology mainly relies on manual detection. This method is not only inefficient, but also limited by human factors. It is difficult to give full play to the intelligence of the equipment diagnosis method. The fault types of electromagnetic brakes are diverse, and it is necessary to establish an intelligent fault diagnosis process to integrate data from different sensors.

发明内容Summary of the invention

为了克服现有技术的上述缺陷,本发明的实施例提供一种电磁闸的故障诊断系统,用于解决上述背景技术中提出的问题。In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a fault diagnosis system for an electromagnetic brake, which is used to solve the problems raised in the above-mentioned background technology.

为实现上述目的,本发明提供如下技术方案:一种电磁闸的故障诊断系统,包括:To achieve the above object, the present invention provides the following technical solution: a fault diagnosis system for an electromagnetic brake, comprising:

电磁闸运行周期划分模块:用于获取预设时间段内的电磁闸运行周期,将预设时间段内的电磁闸运行周期按照等时间的划分方式划分为各监测子区域,并对电磁闸运行周期各监测子区域进行编号。Electromagnetic gate operation cycle division module: used to obtain the electromagnetic gate operation cycle within a preset time period, divide the electromagnetic gate operation cycle within the preset time period into various monitoring sub-areas according to an equal time division method, and number each monitoring sub-area of the electromagnetic gate operation cycle.

电磁闸故障数据采集模块:用于通过传感器采集电磁闸运行周期各监测子区域的运行关键参数信息,所述电磁闸故障数据采集模块包括电磁闸振动数据采集单元、电磁闸线圈数据采集单元和电磁闸磁力稳定数据采集单元,所述运行关键参数信息包括电磁闸振动数据、电磁闸线圈数据和电磁闸磁力稳定数据。Electromagnetic brake fault data acquisition module: used to collect key operating parameter information of each monitoring sub-area of the electromagnetic brake operation cycle through sensors. The electromagnetic brake fault data acquisition module includes an electromagnetic brake vibration data acquisition unit, an electromagnetic brake coil data acquisition unit and an electromagnetic brake magnetic force stability data acquisition unit. The key operating parameter information includes electromagnetic brake vibration data, electromagnetic brake coil data and electromagnetic brake magnetic force stability data.

电磁闸振动数据处理模块:用于接收电磁闸故障数据采集模块传输的运行关键参数信息,根据电磁闸振动数据采集单元计算得到电磁闸运行周期各监测子区域的电磁闸振动异常监测指数。Electromagnetic brake vibration data processing module: used to receive the key operating parameter information transmitted by the electromagnetic brake fault data acquisition module, and calculate the electromagnetic brake vibration abnormality monitoring index of each monitoring sub-area in the electromagnetic brake operation cycle according to the electromagnetic brake vibration data acquisition unit.

电磁闸线圈数据处理模块:用于接收电磁闸故障数据采集模块传输的运行关键参数信息,根据电磁闸线圈数据采集单元计算得到电磁闸运行周期各监测子区域的电磁闸线圈风险监测指数。Electromagnetic brake coil data processing module: used to receive the key operating parameter information transmitted by the electromagnetic brake fault data acquisition module, and calculate the electromagnetic brake coil risk monitoring index of each monitoring sub-area of the electromagnetic brake operation cycle according to the electromagnetic brake coil data acquisition unit.

电磁闸磁力数据处理模块:用于接收电磁闸故障数据采集模块传输的运行关键参数信息,根据电磁闸磁力稳定数据采集单元计算得到电磁闸运行周期各监测子区域的电磁闸运行稳定指数。Electromagnetic brake magnetic data processing module: used to receive the key operating parameter information transmitted by the electromagnetic brake fault data acquisition module, and calculate the electromagnetic brake operation stability index of each monitoring sub-area of the electromagnetic brake operation cycle according to the electromagnetic brake magnetic stability data acquisition unit.

电磁闸故障诊断分析模块:用于获取电磁闸运行周期各监测子区域的电磁闸振动异常监测指数、电磁闸线圈风险监测指数和电磁闸运行稳定指数,分析得到电磁闸运行周期第i+1个监测子区域的运行故障预警系数。Electromagnetic brake fault diagnosis and analysis module: used to obtain the electromagnetic brake vibration abnormality monitoring index, electromagnetic brake coil risk monitoring index and electromagnetic brake operation stability index of each monitoring sub-area in the electromagnetic brake operation cycle, and analyze to obtain the operation fault warning coefficient of the i+1th monitoring sub-area in the electromagnetic brake operation cycle.

电磁闸故障诊断评估模块:用于获取电磁闸运行周期第i+1个监测子区域的运行故障预警系数,与预设的运行故障预警系数进行对比,并处理。Electromagnetic brake fault diagnosis and evaluation module: used to obtain the operation fault warning coefficient of the i+1th monitoring sub-area in the operation cycle of the electromagnetic brake, compare it with the preset operation fault warning coefficient, and process it.

优选的,所述电磁闸运行周期划分模块的具体划分方式为:Preferably, the specific division method of the electromagnetic brake operation cycle division module is:

获取预设时间段内的电磁闸运行周期,采用等时间的划分方式划分为各监测子区域,并将电磁闸运行周期各监测子区域依次编号为1、2,…i,…n。The operation cycle of the electromagnetic brake within the preset time period is obtained, and is divided into monitoring sub-areas by equal time division, and each monitoring sub-area of the electromagnetic brake operation cycle is numbered 1, 2, ...i, ...n in sequence.

优选的,所述电磁闸故障数据采集模块具体为:Preferably, the electromagnetic brake fault data acquisition module is specifically:

电磁闸振动数据采集单元:通过传感器采集电磁闸运行周期各监测子区域的振动频率、振幅、振动速度,分别标记为dpi、dfi、dvi,其中i=1、2……n,i表示为第i个监测子区域的编号;Electromagnetic brake vibration data acquisition unit: collects the vibration frequency, amplitude and vibration speed of each monitoring sub-area during the operation cycle of the electromagnetic brake through sensors, which are marked as dp i , df i , dv i , respectively, where i=1, 2...n, i represents the number of the i-th monitoring sub-area;

电磁闸线圈数据采集单元:通过传感器采集电磁闸运行周期各监测子区域的线圈匝数、线圈温度、环境温度,分别标记为xZi、xti、xhiElectromagnetic brake coil data acquisition unit: collects the number of coil turns, coil temperature, and ambient temperature of each monitoring sub-area during the operation cycle of the electromagnetic brake through sensors, which are marked as xZ i , xt i , and xh i respectively;

电磁闸磁力稳定数据采集单元:通过传感器采集电磁闸运行周期各监测子区域的磁力输出强度、输入电流,分别标记为cqi、cliElectromagnetic brake magnetic force stability data acquisition unit: collects the magnetic force output intensity and input current of each monitoring sub-area during the operation cycle of the electromagnetic brake through sensors, which are marked as cq i and cl i respectively.

优选的,所述电磁闸振动数据处理模块具体为:Preferably, the electromagnetic brake vibration data processing module is specifically:

步骤S01:提取电磁闸运行周期各监测子区域的振动频率,由公式: 得到振动频率偏差程度,其中TPi表示为第i个监测子区域的振动频率偏差程度,dpi表示为第i个监测子区域的振动频率,DP0表示为预设的振动频率,ΔP表示为振动频率允许差值,n表示为监测子区域的数量;Step S01: Extract the vibration frequency of each monitoring sub-area during the operation cycle of the electromagnetic brake, according to the formula: The vibration frequency deviation degree is obtained, where TP i represents the vibration frequency deviation degree of the i-th monitoring sub-area, dp i represents the vibration frequency of the i-th monitoring sub-area, DP 0 represents the preset vibration frequency, ΔP represents the vibration frequency allowable difference, and n represents the number of monitoring sub-areas;

步骤S02:提取电磁闸运行周期各监测子区域的振幅,由公式: 得到振幅偏差程度,其中TFi表示为第i个监测子区域的振幅偏差程度,DF0表示为预设的振幅,dfi表示为第i个监测子区域的振幅,ΔF表示为振幅允许差值;Step S02: extract the amplitude of each monitoring sub-area during the electromagnetic brake operation cycle, according to the formula: The amplitude deviation degree is obtained, where TF i represents the amplitude deviation degree of the i-th monitoring sub-area, DF 0 represents the preset amplitude, df i represents the amplitude of the i-th monitoring sub-area, and ΔF represents the amplitude allowable difference;

步骤S03:提取电磁闸运行周期各监测子区域的振动速度,由公式: 得到振动速度偏差程度,其中TVi表示为第i个监测子区域的振动速度偏差程度,DV0表示为预设的振动速度,dvi表示为第i个监测子区域的振动速度,ΔV表示为振动速度允许差值;Step S03: Extract the vibration speed of each monitoring sub-area during the electromagnetic brake operation cycle, using the formula: The vibration velocity deviation degree is obtained, where TV i represents the vibration velocity deviation degree of the i-th monitoring sub-area, DV 0 represents the preset vibration velocity, dv i represents the vibration velocity of the i-th monitoring sub-area, and ΔV represents the allowable difference in vibration velocity;

步骤S04:所述电磁闸振动异常监测指数的计算公式为:Step S04: The calculation formula of the electromagnetic brake vibration abnormality monitoring index is:

其中αi表示为第i个监测子区域的电磁闸振动异常监测指数,TPi表示为第i个监测子区域的振动频率偏差程度,TPi-1表示为第i-1个监测子区域的振动频率偏差程度,TFi表示为第i个监测子区域的振幅偏差程度,TFi-1表示为第i-1个监测子区域的振幅偏差程度,TVi表示为第i个监测子区域的振动速度偏差程度,TVi-1表示为第i-1个监测子区域的振动速度偏差程度,SP表示为振动频率偏差程度的标准差,e表示为自然常数,μ1、μ2分别表示为振幅偏差程度、振动速度偏差程度的补偿因子。 Wherein, α i represents the electromagnetic brake vibration anomaly monitoring index of the ith monitoring sub-area, TP i represents the vibration frequency deviation degree of the ith monitoring sub-area, TP i-1 represents the vibration frequency deviation degree of the i-1th monitoring sub-area, TF i represents the amplitude deviation degree of the ith monitoring sub-area, TF i-1 represents the amplitude deviation degree of the i-1th monitoring sub-area, TV i represents the vibration velocity deviation degree of the ith monitoring sub-area, TV i-1 represents the vibration velocity deviation degree of the i-1th monitoring sub-area, SP represents the standard deviation of the vibration frequency deviation degree, e represents the natural constant, μ 1 and μ 2 represent the compensation factors of the amplitude deviation degree and the vibration velocity deviation degree, respectively.

优选的,所述电磁闸线圈数据处理模块具体为:Preferably, the electromagnetic brake coil data processing module is specifically:

步骤S01:提取电磁闸运行周期各监测子区域的线圈温度、环境温度,由公式:得到温度风险诊断程度,其中MTi表示为第i个监测子区域的温度风险诊断程度,xti表示为第i个监测子区域的线圈温度,xhi表示为第i个监测子区域的环境温度,e表示为自然常数;Step S01: extract the coil temperature and ambient temperature of each monitoring sub-area during the electromagnetic brake operation cycle, according to the formula: The temperature risk diagnosis degree is obtained, where MT i represents the temperature risk diagnosis degree of the i-th monitoring sub-area, xt i represents the coil temperature of the i-th monitoring sub-area, xh i represents the ambient temperature of the i-th monitoring sub-area, and e represents a natural constant;

步骤S02:所述电磁闸线圈风险监测指数的计算公式为:Step S02: The calculation formula of the electromagnetic brake coil risk monitoring index is:

其中βi表示为第i个监测子区域的电磁闸线圈风险监测指数,MTi表示为第i个监测子区域的温度风险诊断程度,xzi表示为第i个监测子区域的线圈匝数,π表示为自然常数。 Where βi represents the electromagnetic brake coil risk monitoring index of the i-th monitoring sub-area, MTi represents the temperature risk diagnosis degree of the i-th monitoring sub-area, xzi represents the number of coil turns in the i-th monitoring sub-area, and π represents a natural constant.

优选的,所述电磁闸磁力数据处理模块具体为:Preferably, the electromagnetic brake magnetic force data processing module is specifically:

步骤S01:获取电磁闸设备的额定输入电流,标记为eliStep S01: obtaining the rated input current of the electromagnetic brake device, marked as el i ;

步骤S02:所述电磁闸运行稳定指数的计算公式为:Step S02: The calculation formula of the electromagnetic brake operation stability index is:

其中γi表示为第i个监测子区域的电磁闸运行稳定指数,eli表示为第i个监测子区域的额定输入电流,cli表示为第i个监测子区域的输入电流,cqi表示为第i个监测子区域的磁力输出强度,CL0表示为预设的磁力输出强度。 Wherein, γ i represents the electromagnetic brake operation stability index of the i-th monitoring sub-area, el i represents the rated input current of the i-th monitoring sub-area, cl i represents the input current of the i-th monitoring sub-area, cq i represents the magnetic output intensity of the i-th monitoring sub-area, and CL 0 represents the preset magnetic output intensity.

优选的,所述运行故障预警系数的计算公式为:Preferably, the calculation formula of the operation fault warning coefficient is:

其中θi+1表示为第i+1个监测子区域的运行故障预警系数,αi表示为第i个监测子区域的电磁闸振动异常监测指数,αi-1表示为第i-1个监测子区域的电磁闸振动异常监测指数,Δα表示为电磁闸振动异常监测指数均值,βi表示为第i个监测子区域的电磁闸线圈风险监测指数,βi-1表示为第i-1个监测子区域的电磁闸线圈风险监测指数,Δβ表示为电磁闸线圈风险监测指数均值,γi表示为第i个监测子区域的电磁闸运行稳定指数,γi-1表示为第i-1个监测子区域的电磁闸运行稳定指数,Δγ表示为电磁闸运行稳定指数均值。 Among them, θ i+1 represents the operation fault warning coefficient of the i+1th monitoring sub-area, α i represents the electromagnetic brake vibration abnormality monitoring index of the i-th monitoring sub-area, α i-1 represents the electromagnetic brake vibration abnormality monitoring index of the i-1th monitoring sub-area, Δα represents the mean of the electromagnetic brake vibration abnormality monitoring index, β i represents the electromagnetic brake coil risk monitoring index of the i-th monitoring sub-area, β i-1 represents the electromagnetic brake coil risk monitoring index of the i-1th monitoring sub-area, Δβ represents the mean of the electromagnetic brake coil risk monitoring index, γ i represents the electromagnetic brake operation stability index of the i-th monitoring sub-area, γ i-1 represents the electromagnetic brake operation stability index of the i-1th monitoring sub-area, and Δγ represents the mean of the electromagnetic brake operation stability index.

优选的,所述电磁闸故障诊断评估模块的具体评估方式为:Preferably, the specific evaluation method of the electromagnetic brake fault diagnosis and evaluation module is:

获取电磁闸运行周期第i+1个监测子区域的运行故障预警系数,与预设的运行故障预警系数进行对比,若电磁闸第i+1个监测子区域的运行故障预警系数大于预设的运行故障预警系数,则表明该电磁闸运行过程中存在潜在故障,应及时发出警报通知相关人员,反之则表明该电磁闸运行过程中无异常现象。Obtain the operation fault warning coefficient of the i+1th monitoring sub-area of the electromagnetic brake operation cycle, and compare it with the preset operation fault warning coefficient. If the operation fault warning coefficient of the i+1th monitoring sub-area of the electromagnetic brake is greater than the preset operation fault warning coefficient, it indicates that there is a potential fault in the operation of the electromagnetic brake, and an alarm should be issued in time to notify relevant personnel. Otherwise, it indicates that there is no abnormality in the operation of the electromagnetic brake.

本发明的技术效果和优点:Technical effects and advantages of the present invention:

1、本发明提供一种电磁闸的故障诊断系统,通过传感器采集电磁闸运行周期各监测子区域的运行关键参数信息,根据电磁闸振动数据采集单元计算得到电磁闸运行周期各监测子区域的电磁闸振动异常监测指数,根据电磁闸线圈数据采集单元计算得到电磁闸运行周期各监测子区域的电磁闸线圈风险监测指数,根据电磁闸磁力稳定数据采集单元计算得到电磁闸运行周期各监测子区域的电磁闸运行稳定指数,从而实现采用高精度、高稳定性的传感器来监测电磁闸的各项参数,对采集到的数据进行深度处理和分析,自动评估电磁闸的故障程度,能够减少人工干预,提高诊断效率,提高故障检测的全面性和准确性;1. The present invention provides a fault diagnosis system for an electromagnetic brake, which collects key operating parameter information of each monitoring sub-area during the operation cycle of the electromagnetic brake through sensors, calculates the electromagnetic brake vibration abnormality monitoring index of each monitoring sub-area during the operation cycle of the electromagnetic brake according to the electromagnetic brake vibration data acquisition unit, calculates the electromagnetic brake coil risk monitoring index of each monitoring sub-area during the operation cycle of the electromagnetic brake according to the electromagnetic brake coil data acquisition unit, and calculates the electromagnetic brake operation stability index of each monitoring sub-area during the operation cycle of the electromagnetic brake according to the electromagnetic brake magnetic force stability data acquisition unit, thereby realizing the use of high-precision and high-stability sensors to monitor various parameters of the electromagnetic brake, deeply processing and analyzing the collected data, and automatically evaluating the fault degree of the electromagnetic brake, which can reduce manual intervention, improve diagnostic efficiency, and improve the comprehensiveness and accuracy of fault detection;

2、本发明提供一种电磁闸的故障诊断系统,利用电磁闸故障诊断分析模块,结合电磁闸运行周期各监测子区域的历史电磁闸振动异常监测指数、历史电磁闸线圈风险监测指数和历史电磁闸运行稳定指数,分析得到电磁闸运行周期第i+1个监测子区域的运行故障预警系数,与预设的运行故障预警系数进行对比,若电磁闸第i+1个监测子区域的运行故障预警系数大于预设的运行故障预警系数,则表明该电磁闸运行过程中存在潜在故障,应及时发出警报通知相关人员,反之则表明该电磁闸运行过程中无异常现象,有利于实现自动化的故障诊断流程,通过预设的诊断规则和算法,对电磁闸的故障进行快速、准确的诊断,同时能够根据历史数据和当前运行状态,预测可能的故障发生,为管理人员提供科学的决策建议,实现故障诊断的智能化。2. The present invention provides a fault diagnosis system for an electromagnetic brake, which utilizes an electromagnetic brake fault diagnosis analysis module, combined with the historical electromagnetic brake vibration abnormality monitoring index, the historical electromagnetic brake coil risk monitoring index and the historical electromagnetic brake operation stability index of each monitoring sub-area in the electromagnetic brake operation cycle, to analyze and obtain the operation fault warning coefficient of the i+1th monitoring sub-area in the electromagnetic brake operation cycle, and compare it with the preset operation fault warning coefficient. If the operation fault warning coefficient of the i+1th monitoring sub-area of the electromagnetic brake is greater than the preset operation fault warning coefficient, it indicates that there is a potential fault in the operation of the electromagnetic brake, and an alarm should be issued in time to notify relevant personnel. Otherwise, it indicates that there is no abnormal phenomenon in the operation of the electromagnetic brake, which is conducive to realizing an automated fault diagnosis process. Through preset diagnostic rules and algorithms, the fault of the electromagnetic brake can be quickly and accurately diagnosed. At the same time, it can predict the occurrence of possible faults based on historical data and the current operating status, provide scientific decision-making suggestions for management personnel, and realize intelligent fault diagnosis.

附图说明BRIEF DESCRIPTION OF THE DRAWINGS

图1为本发明的系统模块流程连接示意图。FIG. 1 is a schematic diagram of the system module flow connection of the present invention.

图2为本发明的电磁闸故障数据采集模块结构示意图。FIG. 2 is a schematic diagram of the structure of the electromagnetic brake fault data acquisition module of the present invention.

具体实施方式DETAILED DESCRIPTION

下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

请参阅图1所示,本发明提供一种电磁闸的故障诊断系统,包括电磁闸运行周期划分模块、电磁闸故障数据采集模块、电磁闸振动数据处理模块、电磁闸线圈数据处理模块、电磁闸磁力数据处理模块、电磁闸故障诊断分析模块、电磁闸故障诊断评估模块。Please refer to Figure 1, the present invention provides an electromagnetic brake fault diagnosis system, including an electromagnetic brake operation cycle division module, an electromagnetic brake fault data acquisition module, an electromagnetic brake vibration data processing module, an electromagnetic brake coil data processing module, an electromagnetic brake magnetic force data processing module, an electromagnetic brake fault diagnosis analysis module, and an electromagnetic brake fault diagnosis evaluation module.

所述电磁闸运行周期划分模块与电磁闸故障数据采集模块连接,电磁闸故障数据采集模块与电磁闸振动数据处理模块、电磁闸线圈数据处理模块和电磁闸磁力数据处理模块连接,电磁闸振动数据处理模块、电磁闸线圈数据处理模块和电磁闸磁力数据处理模块与电磁闸故障诊断分析模块连接,电磁闸故障诊断分析模块与电磁闸故障诊断评估模块连接。The electromagnetic brake operation cycle division module is connected to the electromagnetic brake fault data acquisition module, the electromagnetic brake fault data acquisition module is connected to the electromagnetic brake vibration data processing module, the electromagnetic brake coil data processing module and the electromagnetic brake magnetic force data processing module, the electromagnetic brake vibration data processing module, the electromagnetic brake coil data processing module and the electromagnetic brake magnetic force data processing module are connected to the electromagnetic brake fault diagnosis and analysis module, and the electromagnetic brake fault diagnosis and analysis module is connected to the electromagnetic brake fault diagnosis and evaluation module.

所述电磁闸运行周期划分模块用于获取预设时间段内的电磁闸运行周期,将预设时间段内的电磁闸运行周期按照等时间的划分方式划分为各监测子区域,并对电磁闸运行周期各监测子区域进行编号。The electromagnetic brake operation cycle division module is used to obtain the electromagnetic brake operation cycle within a preset time period, divide the electromagnetic brake operation cycle within the preset time period into each monitoring sub-area according to an equal time division method, and number each monitoring sub-area of the electromagnetic brake operation cycle.

在一种可能的设计中,所述电磁闸运行周期划分模块的具体划分方式为:In a possible design, the specific division method of the electromagnetic brake operation cycle division module is:

获取预设时间段内的电磁闸运行周期,采用等时间的划分策略划分为各监测子区域,并将电磁闸运行周期各监测子区域依次编号为1、2,...i,…n。The operation cycle of the electromagnetic gate within the preset time period is obtained, and the equal time division strategy is adopted to divide it into various monitoring sub-areas, and the monitoring sub-areas of the electromagnetic gate operation cycle are numbered 1, 2, ...i, ...n in sequence.

请参阅图2所示,所述电磁闸故障数据采集模块用于通过传感器采集电磁闸运行周期各监测子区域的运行关键参数信息,所述电磁闸故障数据采集模块包括电磁闸振动数据采集单元、电磁闸线圈数据采集单元和电磁闸磁力稳定数据采集单元,所述运行关键参数信息包括电磁闸振动数据、电磁闸线圈数据和电磁闸磁力稳定数据。Please refer to Figure 2, the electromagnetic brake fault data acquisition module is used to collect key operating parameter information of each monitoring sub-area of the electromagnetic brake operation cycle through sensors, and the electromagnetic brake fault data acquisition module includes an electromagnetic brake vibration data acquisition unit, an electromagnetic brake coil data acquisition unit and an electromagnetic brake magnetic force stability data acquisition unit. The key operating parameter information includes electromagnetic brake vibration data, electromagnetic brake coil data and electromagnetic brake magnetic force stability data.

在一种可能的设计中,所述电磁闸故障数据采集模块具体为:In a possible design, the electromagnetic brake fault data acquisition module is specifically:

电磁闸振动数据采集单元:通过传感器采集电磁闸运行周期各监测子区域的振动频率、振幅、振动速度,分别标记为dpi、dfi、dvi,其中i=1、2……n,i表示为第i个监测子区域的编号;Electromagnetic brake vibration data acquisition unit: collects the vibration frequency, amplitude and vibration speed of each monitoring sub-area during the operation cycle of the electromagnetic brake through sensors, which are marked as dp i , df i , dv i , respectively, where i=1, 2...n, i represents the number of the i-th monitoring sub-area;

电磁闸线圈数据采集单元:通过传感器采集电磁闸运行周期各监测子区域的线圈匝数、线圈温度、环境温度,分别标记为xzi、xti、xhiElectromagnetic brake coil data acquisition unit: collects the number of coil turns, coil temperature, and ambient temperature of each monitoring sub-area during the operation cycle of the electromagnetic brake through sensors, which are marked as xz i , xt i , and xh i respectively;

电磁闸磁力稳定数据采集单元:通过传感器采集电磁闸运行周期各监测子区域的磁力输出强度、输入电流,分别标记为cqi、cliElectromagnetic brake magnetic force stability data acquisition unit: collects the magnetic force output intensity and input current of each monitoring sub-area during the operation cycle of the electromagnetic brake through sensors, which are marked as cq i and cl i respectively.

在本实施例中,需要具体说明的是,所述电磁闸振动数据采集单元中传感器为振动传感器,电磁闸线圈数据采集单元中传感器为温度传感器,电磁闸磁力稳定数据采集单元中传感器为电流传感器和磁力计。In this embodiment, it should be specifically explained that the sensor in the electromagnetic brake vibration data acquisition unit is a vibration sensor, the sensor in the electromagnetic brake coil data acquisition unit is a temperature sensor, and the sensor in the electromagnetic brake magnetic force stability data acquisition unit is a current sensor and a magnetometer.

所述电磁闸振动数据处理模块用于接收电磁闸故障数据采集模块传输的运行关键参数信息,根据电磁闸振动数据采集单元计算得到电磁闸运行周期各监测子区域的电磁闸振动异常监测指数。The electromagnetic brake vibration data processing module is used to receive the key operating parameter information transmitted by the electromagnetic brake fault data acquisition module, and calculate the electromagnetic brake vibration abnormality monitoring index of each monitoring sub-area of the electromagnetic brake operation cycle according to the electromagnetic brake vibration data acquisition unit.

在一种可能的设计中,所述电磁闸振动数据处理模块具体为:In a possible design, the electromagnetic brake vibration data processing module is specifically:

步骤S01:提取电磁闸运行周期各监测子区域的振动频率,由公式: 得到振动频率偏差程度,其中TPi表示为第i个监测子区域的振动频率偏差程度,dpi表示为第i个监测子区域的振动频率,DP0表示为预设的振动频率,ΔP表示为振动频率允许差值,n表示为监测子区域的数量;Step S01: Extract the vibration frequency of each monitoring sub-area during the operation cycle of the electromagnetic brake, according to the formula: The vibration frequency deviation degree is obtained, where TP i represents the vibration frequency deviation degree of the i-th monitoring sub-area, dp i represents the vibration frequency of the i-th monitoring sub-area, DP 0 represents the preset vibration frequency, ΔP represents the vibration frequency allowable difference, and n represents the number of monitoring sub-areas;

步骤S02:提取电磁闸运行周期各监测子区域的振幅,由公式: 得到振幅偏差程度,其中TFi表示为第i个监测子区域的振幅偏差程度,DF0表示为预设的振幅,dfi表示为第i个监测子区域的振幅,ΔF表示为振幅允许差值;Step S02: extract the amplitude of each monitoring sub-area during the electromagnetic brake operation cycle, according to the formula: The amplitude deviation degree is obtained, where TF i represents the amplitude deviation degree of the i-th monitoring sub-area, DF 0 represents the preset amplitude, df i represents the amplitude of the i-th monitoring sub-area, and ΔF represents the amplitude allowable difference;

步骤S03:提取电磁闸运行周期各监测子区域的振动速度,由公式: 得到振动速度偏差程度,其中TVi表示为第i个监测子区域的振动速度偏差程度,DV0表示为预设的振动速度,dvi表示为第i个监测子区域的振动速度,ΔV表示为振动速度允许差值;Step S03: Extract the vibration speed of each monitoring sub-area during the electromagnetic brake operation cycle, using the formula: The vibration velocity deviation degree is obtained, where TV i represents the vibration velocity deviation degree of the i-th monitoring sub-area, DV 0 represents the preset vibration velocity, dv i represents the vibration velocity of the i-th monitoring sub-area, and ΔV represents the allowable difference in vibration velocity;

步骤S04:所述电磁闸振动异常监测指数的计算公式为:Step S04: The calculation formula of the electromagnetic brake vibration abnormality monitoring index is:

其中αi表示为第i个监测子区域的电磁闸振动异常监测指数,TPi表示为第i个监测子区域的振动频率偏差程度,TPi-1表示为第i-1个监测子区域的振动频率偏差程度,TFi表示为第i个监测子区域的振幅偏差程度,TFi-1表示为第i-1个监测子区域的振幅偏差程度,TVi表示为第i个监测子区域的振动速度偏差程度,TVi-1表示为第i-1个监测子区域的振动速度偏差程度,SP表示为振动频率偏差程度的标准差,e表示为自然常数,μ1、μ2分别表示为振幅偏差程度、振动速度偏差程度的补偿因子。 Wherein, α i represents the electromagnetic brake vibration anomaly monitoring index of the ith monitoring sub-area, TP i represents the vibration frequency deviation degree of the ith monitoring sub-area, TP i-1 represents the vibration frequency deviation degree of the i-1th monitoring sub-area, TF i represents the amplitude deviation degree of the ith monitoring sub-area, TF i-1 represents the amplitude deviation degree of the i-1th monitoring sub-area, TV i represents the vibration velocity deviation degree of the ith monitoring sub-area, TV i-1 represents the vibration velocity deviation degree of the i-1th monitoring sub-area, SP represents the standard deviation of the vibration frequency deviation degree, e represents the natural constant, μ 1 and μ 2 represent the compensation factors of the amplitude deviation degree and the vibration velocity deviation degree, respectively.

在本实施例中,需要具体说明的是,所述振动频率偏差程度的标准差的计算公式为:In this embodiment, it should be specifically explained that the calculation formula of the standard deviation of the vibration frequency deviation degree is:

其中SP表示为振动频率偏差程度的标准差,TPi表示为第i个监测子区域的振动频率偏差程度,ΔTP表示为振动频率偏差程度的均值,公式为: Where SP represents the standard deviation of the vibration frequency deviation, TP i represents the vibration frequency deviation of the i-th monitoring sub-area, and ΔTP represents the mean value of the vibration frequency deviation. The formula is:

所述电磁闸线圈数据处理模块用于接收电磁闸故障数据采集模块传输的运行关键参数信息,根据电磁闸线圈数据采集单元计算得到电磁闸运行周期各监测子区域的电磁闸线圈风险监测指数。The electromagnetic brake coil data processing module is used to receive the key operating parameter information transmitted by the electromagnetic brake fault data acquisition module, and calculate the electromagnetic brake coil risk monitoring index of each monitoring sub-area of the electromagnetic brake operation cycle according to the electromagnetic brake coil data acquisition unit.

在一种可能的设计中,所述电磁闸线圈数据处理模块具体为:In a possible design, the electromagnetic brake coil data processing module is specifically:

步骤S01:提取电磁闸运行周期各监测子区域的线圈温度、环境温度,由公式:得到温度风险诊断程度,其中MTi表示为第i个监测子区域的温度风险诊断程度,xti表示为第i个监测子区域的线圈温度,xhi表示为第i个监测子区域的环境温度,e表示为自然常数;Step S01: extract the coil temperature and ambient temperature of each monitoring sub-area during the electromagnetic brake operation cycle, according to the formula: The temperature risk diagnosis degree is obtained, where MT i represents the temperature risk diagnosis degree of the i-th monitoring sub-area, xt i represents the coil temperature of the i-th monitoring sub-area, xh i represents the ambient temperature of the i-th monitoring sub-area, and e represents a natural constant;

步骤S02:所述电磁闸线圈风险监测指数的计算公式为:Step S02: The calculation formula of the electromagnetic brake coil risk monitoring index is:

其中βi表示为第i个监测子区域的电磁闸线圈风险监测指数,MTi表示为第i个监测子区域的温度风险诊断程度,xzi表示为第i个监测子区域的线圈匝数,π表示为自然常数。 Where βi represents the electromagnetic brake coil risk monitoring index of the i-th monitoring sub-area, MTi represents the temperature risk diagnosis degree of the i-th monitoring sub-area, xzi represents the number of coil turns in the i-th monitoring sub-area, and π represents a natural constant.

所述电磁闸磁力数据处理模块用于接收电磁闸故障数据采集模块传输的运行关键参数信息,根据电磁闸磁力稳定数据采集单元计算得到电磁闸运行周期各监测子区域的电磁闸运行稳定指数。The electromagnetic brake magnetic force data processing module is used to receive the key operating parameter information transmitted by the electromagnetic brake fault data acquisition module, and calculate the electromagnetic brake operation stability index of each monitoring sub-area of the electromagnetic brake operation cycle according to the electromagnetic brake magnetic force stability data acquisition unit.

在一种可能的设计中,所述电磁闸磁力数据处理模块具体为:In a possible design, the electromagnetic brake magnetic force data processing module is specifically:

步骤S01:获取电磁闸设备的额定输入电流,标记为eliStep S01: obtaining the rated input current of the electromagnetic brake device, marked as el i ;

步骤S02:所述电磁闸运行稳定指数的计算公式为:Step S02: The calculation formula of the electromagnetic brake operation stability index is:

其中γi表示为第i个监测子区域的电磁闸运行稳定指数,eli表示为第i个监测子区域的额定输入电流,cli表示为第i个监测子区域的输入电流,cqi表示为第i个监测子区域的磁力输出强度,CL0表示为预设的磁力输出强度。 Wherein, γ i represents the electromagnetic brake operation stability index of the i-th monitoring sub-area, el i represents the rated input current of the i-th monitoring sub-area, cl i represents the input current of the i-th monitoring sub-area, cq i represents the magnetic output intensity of the i-th monitoring sub-area, and CL 0 represents the preset magnetic output intensity.

所述电磁闸故障诊断分析模块用于获取电磁闸运行周期各监测子区域的电磁闸振动异常监测指数、电磁闸线圈风险监测指数和电磁闸运行稳定指数,分析得到电磁闸运行周期第i+1个监测子区域的运行故障预警系数。The electromagnetic brake fault diagnosis and analysis module is used to obtain the electromagnetic brake vibration abnormality monitoring index, the electromagnetic brake coil risk monitoring index and the electromagnetic brake operation stability index of each monitoring sub-area in the electromagnetic brake operation cycle, and analyze to obtain the operation fault warning coefficient of the i+1th monitoring sub-area in the electromagnetic brake operation cycle.

在一种可能的设计中,所述运行故障预警系数的计算公式为:In a possible design, the calculation formula of the operation fault warning coefficient is:

其中θi+1表示为第i+1个监测子区域的运行故障预警系数,αi表示为第i个监测子区域的电磁闸振动异常监测指数,αi-1表示为第i-1个监测子区域的电磁闸振动异常监测指数,Δα表示为电磁闸振动异常监测指数均值,βi表示为第i个监测子区域的电磁闸线圈风险监测指数,βi-1表示为第i-1个监测子区域的电磁闸线圈风险监测指数,Δβ表示为电磁闸线圈风险监测指数均值,γi表示为第i个监测子区域的电磁闸运行稳定指数,γi-1表示为第i-1个监测子区域的电磁闸运行稳定指数,Δγ表示为电磁闸运行稳定指数均值。 Among them, θ i+1 represents the operation fault warning coefficient of the i+1th monitoring sub-area, α i represents the electromagnetic brake vibration abnormality monitoring index of the i-th monitoring sub-area, α i-1 represents the electromagnetic brake vibration abnormality monitoring index of the i-1th monitoring sub-area, Δα represents the mean of the electromagnetic brake vibration abnormality monitoring index, β i represents the electromagnetic brake coil risk monitoring index of the i-th monitoring sub-area, β i-1 represents the electromagnetic brake coil risk monitoring index of the i-1th monitoring sub-area, Δβ represents the mean of the electromagnetic brake coil risk monitoring index, γ i represents the electromagnetic brake operation stability index of the i-th monitoring sub-area, γ i-1 represents the electromagnetic brake operation stability index of the i-1th monitoring sub-area, and Δγ represents the mean of the electromagnetic brake operation stability index.

所述电磁闸故障诊断评估模块用于获取电磁闸运行周期第i+1个监测子区域的运行故障预警系数,与预设的运行故障预警系数进行对比,并处理。The electromagnetic brake fault diagnosis and evaluation module is used to obtain the operation fault warning coefficient of the i+1th monitoring sub-area of the electromagnetic brake operation cycle, compare it with the preset operation fault warning coefficient, and process it.

在一种可能的设计中,所述电磁闸故障诊断评估模块的具体评估方式为:In a possible design, the specific evaluation method of the electromagnetic brake fault diagnosis and evaluation module is:

获取电磁闸运行周期第i+1个监测子区域的运行故障预警系数,与预设的运行故障预警系数进行对比,若电磁闸第i+1个监测子区域的运行故障预警系数大于预设的运行故障预警系数,则表明该电磁闸运行过程中存在潜在故障,应及时发出警报通知相关人员,反之则表明该电磁闸运行过程中无异常现象。Obtain the operation fault warning coefficient of the i+1th monitoring sub-area of the electromagnetic brake operation cycle, and compare it with the preset operation fault warning coefficient. If the operation fault warning coefficient of the i+1th monitoring sub-area of the electromagnetic brake is greater than the preset operation fault warning coefficient, it indicates that there is a potential fault in the operation of the electromagnetic brake, and an alarm should be issued in time to notify relevant personnel. Otherwise, it indicates that there is no abnormality in the operation of the electromagnetic brake.

在本实施例中,需要具体说明的是,本发明通过传感器采集电磁闸运行周期各监测子区域的运行关键参数信息,根据电磁闸振动数据采集单元计算得到电磁闸运行周期各监测子区域的电磁闸振动异常监测指数,根据电磁闸线圈数据采集单元计算得到电磁闸运行周期各监测子区域的电磁闸线圈风险监测指数,根据电磁闸磁力稳定数据采集单元计算得到电磁闸运行周期各监测子区域的电磁闸运行稳定指数,从而实现采用高精度、高稳定性的传感器来监测电磁闸的各项参数,对采集到的数据进行深度处理和分析,自动评估电磁闸的故障程度,能够减少人工干预,提高诊断效率,提高故障检测的全面性和准确性。In the present embodiment, it is necessary to specifically explain that the present invention collects the key operating parameter information of each monitoring sub-area during the operation cycle of the electromagnetic gate through sensors, calculates the electromagnetic gate vibration abnormality monitoring index of each monitoring sub-area during the operation cycle of the electromagnetic gate according to the electromagnetic gate vibration data acquisition unit, calculates the electromagnetic gate coil risk monitoring index of each monitoring sub-area during the operation cycle of the electromagnetic gate according to the electromagnetic gate coil data acquisition unit, and calculates the electromagnetic gate operation stability index of each monitoring sub-area during the operation cycle of the electromagnetic gate according to the electromagnetic gate magnetic stability data acquisition unit, thereby realizing the use of high-precision and high-stability sensors to monitor various parameters of the electromagnetic gate, deeply processing and analyzing the collected data, and automatically evaluating the fault degree of the electromagnetic gate, which can reduce manual intervention, improve diagnostic efficiency, and improve the comprehensiveness and accuracy of fault detection.

在本实施例中,需要具体说明的是,本发明利用电磁闸故障诊断分析模块,结合电磁闸运行周期各监测子区域的历史电磁闸振动异常监测指数、历史电磁闸线圈风险监测指数和历史电磁闸运行稳定指数,分析得到电磁闸运行周期第i+1个监测子区域的运行故障预警系数,与预设的运行故障预警系数进行对比,若电磁闸第i+1个监测子区域的运行故障预警系数大于预设的运行故障预警系数,则表明该电磁闸运行过程中存在潜在故障,应及时发出警报通知相关人员,反之则表明该电磁闸运行过程中无异常现象,有利于实现自动化的故障诊断流程,通过预设的诊断规则和算法,对电磁闸的故障进行快速、准确的诊断,同时能够根据历史数据和当前运行状态,预测可能的故障发生,为管理人员提供科学的决策建议,实现故障诊断的智能化。In the present embodiment, it should be specifically explained that the present invention utilizes the electromagnetic brake fault diagnosis and analysis module, combines the historical electromagnetic brake vibration abnormality monitoring index of each monitoring sub-area in the electromagnetic brake operation cycle, the historical electromagnetic brake coil risk monitoring index and the historical electromagnetic brake operation stability index, analyzes and obtains the operation fault warning coefficient of the i+1th monitoring sub-area in the electromagnetic brake operation cycle, and compares it with the preset operation fault warning coefficient. If the operation fault warning coefficient of the i+1th monitoring sub-area of the electromagnetic brake is greater than the preset operation fault warning coefficient, it indicates that there is a potential fault in the operation of the electromagnetic brake, and an alarm should be issued in time to notify relevant personnel. Otherwise, it indicates that there is no abnormal phenomenon in the operation of the electromagnetic brake, which is conducive to realizing an automated fault diagnosis process. Through the preset diagnostic rules and algorithms, the fault of the electromagnetic brake can be quickly and accurately diagnosed. At the same time, it can predict the occurrence of possible faults based on historical data and the current operating status, provide scientific decision-making suggestions for management personnel, and realize intelligent fault diagnosis.

最后:以上所述仅为本发明的优选实施例而已,并不用于限制本发明,凡在本发明的精神和原则之内,所作的任何修改、等同替换、改进等,均应包含在本发明的保护范围之内。Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims (8)

1. A fault diagnosis system of an electromagnetic brake, comprising:
The electromagnetic gate operation period dividing module: the method comprises the steps of acquiring an electromagnetic brake operation period in a preset time period, dividing the electromagnetic brake operation period in the preset time period into monitoring subareas according to an equal-time dividing mode, and numbering the monitoring subareas of the electromagnetic brake operation period;
The electromagnetic gate fault data acquisition module: the electromagnetic brake fault data acquisition module comprises an electromagnetic brake vibration data acquisition unit, an electromagnetic brake coil data acquisition unit and an electromagnetic brake magnetic force stabilization data acquisition unit, and the operation key parameter information comprises electromagnetic brake vibration data, electromagnetic brake coil data and electromagnetic brake magnetic force stabilization data;
The electromagnetic gate vibration data processing module: the electromagnetic brake vibration monitoring system comprises an electromagnetic brake fault data acquisition module, an electromagnetic brake vibration monitoring module and an electromagnetic brake vibration monitoring module, wherein the electromagnetic brake fault data acquisition module is used for acquiring operation key parameter information transmitted by the electromagnetic brake fault data acquisition module;
electromagnetic gate coil data processing module: the electromagnetic brake fault data acquisition module is used for receiving the operation key parameter information transmitted by the electromagnetic brake fault data acquisition module, and calculating to obtain an electromagnetic brake coil risk monitoring index of each monitoring subarea of the electromagnetic brake operation period according to the electromagnetic brake coil data acquisition unit;
electromagnetic gate magnetic force data processing module: the electromagnetic brake operation stability index of each monitoring subarea of the electromagnetic brake operation period is calculated according to the electromagnetic brake magnetic force stability data acquisition unit;
The electromagnetic gate fault diagnosis and analysis module: the method comprises the steps of obtaining electromagnetic brake vibration abnormality monitoring indexes, electromagnetic brake coil risk monitoring indexes and electromagnetic brake operation stability indexes of all monitoring subareas of an electromagnetic brake operation period, and analyzing to obtain operation fault early warning coefficients of the (i+1) th monitoring subarea of the electromagnetic brake operation period;
The electromagnetic gate fault diagnosis and evaluation module: and the method is used for acquiring the operation fault early warning coefficient of the (i+1) th monitoring subarea of the operation period of the electromagnetic gate, comparing the operation fault early warning coefficient with a preset operation fault early warning coefficient, and processing the operation fault early warning coefficient.
2. The electromagnetic brake fault diagnosis system according to claim 1, wherein: the specific division mode of the electromagnetic gate operation period division module is as follows:
and acquiring an electromagnetic gate operation period in a preset time period, dividing the electromagnetic gate operation period into monitoring subareas in an equal-time dividing mode, and numbering the monitoring subareas of the electromagnetic gate operation period into 1, 2, … i and … n in sequence.
3. The electromagnetic brake fault diagnosis system according to claim 2, wherein: the electromagnetic gate fault data acquisition module specifically comprises:
The electromagnetic gate vibration data acquisition unit: collecting vibration frequency, amplitude and vibration speed of each monitoring subarea of the electromagnetic gate operation period through a sensor, wherein the vibration frequency, the amplitude and the vibration speed are respectively marked as dp i、dfi、dvi, i=1 and 2 … … n, and i is the number of the ith monitoring subarea;
Electromagnetic gate coil data acquisition unit: the number of turns of the coil, the temperature of the coil and the ambient temperature of each monitoring subarea of the operation period of the electromagnetic gate are collected through a sensor, labeled xz i、xti、xhi, respectively;
The magnetic force stabilization data acquisition unit of the electromagnetic brake: the magnetic output intensity and the input current of each monitoring subarea of the electromagnetic brake operation period are collected through a sensor and are respectively marked as cq i、cli.
4. A fault diagnosis system for an electromagnetic brake according to claim 3, wherein: the electromagnetic gate vibration data processing module specifically comprises:
step S01: extracting the vibration frequency of each monitoring subarea of the electromagnetic brake operation period, and adopting the formula: obtaining a vibration frequency deviation degree, wherein TP i is expressed as the vibration frequency deviation degree of the ith monitoring subarea, DP i is expressed as the vibration frequency of the ith monitoring subarea, DP 0 is expressed as a preset vibration frequency, deltaP is expressed as a vibration frequency allowable difference value, and n is expressed as the number of the monitoring subareas;
Step S02: the amplitude of each monitoring subarea of the electromagnetic gate operation period is extracted, and the method comprises the following steps of: Obtaining an amplitude deviation degree, wherein TF i is represented as an amplitude deviation degree of an ith monitoring subarea, DF 0 is represented as a preset amplitude, DF i is represented as an amplitude of the ith monitoring subarea, and DeltaF is represented as an amplitude allowable difference;
step S03: extracting the vibration speed of each monitoring subarea of the electromagnetic gate operation period, and adopting the formula: Obtaining a vibration speed deviation degree, wherein TV i is expressed as the vibration speed deviation degree of the ith monitoring subarea, DV 0 is expressed as a preset vibration speed, DV i is expressed as the vibration speed of the ith monitoring subarea, and DeltaV is expressed as a vibration speed allowable difference;
step S04: the calculation formula of the electromagnetic gate vibration abnormality monitoring index is as follows:
Wherein α i is denoted as an electromagnetic brake vibration anomaly monitoring index of the ith monitored sub-area, TP i is denoted as a vibration frequency deviation degree of the ith monitored sub-area, TP i-1 is denoted as a vibration frequency deviation degree of the ith-1 monitored sub-area, TF i is denoted as an amplitude deviation degree of the ith monitored sub-area, TF i-1 is denoted as an amplitude deviation degree of the ith-1 monitored sub-area, TV i is denoted as a vibration speed deviation degree of the ith monitored sub-area, TV i-1 is denoted as a vibration speed deviation degree of the ith-1 monitored sub-area, SP is denoted as a standard deviation of the vibration frequency deviation degree, e is denoted as a natural constant, and μ 1、μ2 is respectively denoted as a compensation factor of the amplitude deviation degree and the vibration speed deviation degree.
5. The electromagnetic brake fault diagnosis system according to claim 4, wherein: the electromagnetic gate coil data processing module specifically comprises:
Step S01: extracting the coil temperature and the environment temperature of each monitoring subarea of the electromagnetic gate operation period, and adopting the formula: Obtaining a temperature risk diagnosis degree, wherein MT i is expressed as the temperature risk diagnosis degree of the ith monitoring subarea, xt i is expressed as the coil temperature of the ith monitoring subarea, xh i is expressed as the ambient temperature of the ith monitoring subarea, and e is expressed as a natural constant;
step S02: the calculation formula of the risk monitoring index of the electromagnetic gate coil is as follows:
Wherein beta i is expressed as an electromagnetic gate coil risk monitoring index of the ith monitoring subarea, MT i is expressed as a temperature risk diagnosis degree of the ith monitoring subarea, xz i is expressed as a coil turn number of the ith monitoring subarea, and pi is expressed as a natural constant.
6. The electromagnetic brake fault diagnosis system according to claim 5, wherein: the electromagnetic gate magnetic force data processing module specifically comprises:
Step S01: acquiring rated input current of electromagnetic brake equipment, wherein the rated input current is marked as dl i;
Step S02: the calculation formula of the electromagnetic brake operation stability index is as follows:
Wherein gamma i is represented as an electromagnetic brake operation stability index of the ith monitoring subarea, el i is represented as a rated input current of the ith monitoring subarea, CL i is represented as an input current of the ith monitoring subarea, cq i is represented as a magnetic force output intensity of the ith monitoring subarea, and CL 0 is represented as a preset magnetic force output intensity.
7. The electromagnetic brake fault diagnosis system according to claim 6, wherein: the calculation formula of the operation fault early warning coefficient is as follows:
Wherein θ i+1 is denoted as an operational failure early warning coefficient of the i+1th monitoring subregion, α i is denoted as an electromagnetic brake vibration anomaly monitoring index of the i monitoring subregion, α i-1 is denoted as an electromagnetic brake vibration anomaly monitoring index mean value of the i-1 th monitoring subregion, β i is denoted as an electromagnetic brake coil risk monitoring index of the i monitoring subregion, β i-1 is denoted as an electromagnetic brake coil risk monitoring index mean value of the i-1 th monitoring subregion, Δβ is denoted as an electromagnetic brake coil risk monitoring index mean value, γ i is denoted as an electromagnetic brake operational stability index of the i monitoring subregion, γ i-1 is denoted as an electromagnetic brake operational stability index mean value of the i-1 th monitoring subregion.
8. The electromagnetic brake fault diagnosis system according to claim 7, wherein: the electromagnetic gate fault diagnosis and evaluation module comprises the following specific evaluation modes:
Acquiring an operation fault early warning coefficient of the (i+1) th monitoring subarea of the operation period of the electromagnetic gate, comparing the operation fault early warning coefficient with a preset operation fault early warning coefficient, if the operation fault early warning coefficient of the (i+1) th monitoring subarea of the electromagnetic gate is larger than the preset operation fault early warning coefficient, indicating that potential faults exist in the operation process of the electromagnetic gate, and timely sending an alarm to inform related personnel, otherwise, indicating that no abnormal phenomenon exists in the operation process of the electromagnetic gate.
CN202410961191.1A 2024-07-18 2024-07-18 Fault diagnosis system of electromagnetic brake Active CN118914701B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202410961191.1A CN118914701B (en) 2024-07-18 2024-07-18 Fault diagnosis system of electromagnetic brake

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202410961191.1A CN118914701B (en) 2024-07-18 2024-07-18 Fault diagnosis system of electromagnetic brake

Publications (2)

Publication Number Publication Date
CN118914701A true CN118914701A (en) 2024-11-08
CN118914701B CN118914701B (en) 2025-03-07

Family

ID=93305947

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202410961191.1A Active CN118914701B (en) 2024-07-18 2024-07-18 Fault diagnosis system of electromagnetic brake

Country Status (1)

Country Link
CN (1) CN118914701B (en)

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014045728A1 (en) * 2012-09-21 2014-03-27 富士電機株式会社 Electromagnetic brake control device
WO2018092322A1 (en) * 2016-11-16 2018-05-24 Mitsubishi Electric Corporation Diagnosis device for electromagnetic brake
CN109687768A (en) * 2018-12-29 2019-04-26 深圳市越疆科技有限公司 A kind of detection method, device and the controller of firing pin type band-type brake
KR20230099467A (en) * 2021-12-27 2023-07-04 (주)이투지 A Fault Diagnosis and Prediction System for Solar Module Using
CN116560325A (en) * 2023-06-08 2023-08-08 河南开扩智能科技有限公司 Data acquisition management system and management method based on Internet intelligent gateway
CN116742799A (en) * 2023-05-16 2023-09-12 江苏中工智能装备研究院有限公司 A power distribution auxiliary monitoring and early warning system based on Internet of Things technology
CN117554746A (en) * 2023-11-16 2024-02-13 贵州电网有限责任公司 Power distribution network fault diagnosis system based on digital twin
CN117691217A (en) * 2023-12-13 2024-03-12 连云港庚德电子系统科技有限公司 Digital control BMS management emergency system and method
CN117775915A (en) * 2024-01-18 2024-03-29 桂林电子科技大学 Elevator brake shoe abrasion identification system and method
CN118066075A (en) * 2024-01-19 2024-05-24 明阳智慧能源集团股份公司 Online monitoring method and system for electromagnetic band-type brake of yaw system of wind turbine generator

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014045728A1 (en) * 2012-09-21 2014-03-27 富士電機株式会社 Electromagnetic brake control device
WO2018092322A1 (en) * 2016-11-16 2018-05-24 Mitsubishi Electric Corporation Diagnosis device for electromagnetic brake
CN109687768A (en) * 2018-12-29 2019-04-26 深圳市越疆科技有限公司 A kind of detection method, device and the controller of firing pin type band-type brake
KR20230099467A (en) * 2021-12-27 2023-07-04 (주)이투지 A Fault Diagnosis and Prediction System for Solar Module Using
CN116742799A (en) * 2023-05-16 2023-09-12 江苏中工智能装备研究院有限公司 A power distribution auxiliary monitoring and early warning system based on Internet of Things technology
CN116560325A (en) * 2023-06-08 2023-08-08 河南开扩智能科技有限公司 Data acquisition management system and management method based on Internet intelligent gateway
CN117554746A (en) * 2023-11-16 2024-02-13 贵州电网有限责任公司 Power distribution network fault diagnosis system based on digital twin
CN117691217A (en) * 2023-12-13 2024-03-12 连云港庚德电子系统科技有限公司 Digital control BMS management emergency system and method
CN117775915A (en) * 2024-01-18 2024-03-29 桂林电子科技大学 Elevator brake shoe abrasion identification system and method
CN118066075A (en) * 2024-01-19 2024-05-24 明阳智慧能源集团股份公司 Online monitoring method and system for electromagnetic band-type brake of yaw system of wind turbine generator

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
邹海洋: "电梯制动器的故 障分析与检验检测探究", 《大众标准化》, 8 September 2019 (2019-09-08) *

Also Published As

Publication number Publication date
CN118914701B (en) 2025-03-07

Similar Documents

Publication Publication Date Title
EP2193413B1 (en) System for preserving and displaying process control data associated with an abnormal situation
JP5991329B2 (en) Control device, management device, plant control system, and data processing method
CN118586893A (en) A nuclear power plant equipment status intelligent analysis and fault early warning system
CN109580216B (en) Intelligent fault early warning system of gear box lubrication cooling system, method and unit thereof
CN114239864A (en) Converter valve fault maintenance method and terminal based on digital twinning
CN116008701B (en) Electric mechanism operation diagnosis system and method for intelligent high-voltage switch cabinet
CN113740063B (en) Train bearing monitoring and early warning method and system
CN117289659A (en) Intelligent automatic monitoring system for centralized control operation of power plant
CN118309644A (en) Pipeline pump operation flow monitoring method and system based on digital twin
CN113374582B (en) Device and method for evaluating running state of gas turbine
CN118432735B (en) Interference source equipment data transmission method and system
CN117909921A (en) Ship electric power monitoring system based on multi-sensor fusion and method thereof
CN114777003A (en) A power plant auxiliary engine lubricating oil monitoring system and method
CN116794501A (en) A three-phase split GIS isolation switch contact heating early warning method and system
CN217329346U (en) A power plant auxiliary engine lubricating oil monitoring system
CN118914701A (en) Fault diagnosis system of electromagnetic brake
CN116398414A (en) A monitoring and alarming method and system for an air compressor system
CN119828518A (en) Control method, system and storage medium of frequency converter system
CN112561283B (en) Method for diagnosing health state of proportional valve of hydropower station speed regulator and control system
CN212550002U (en) A coal mill running state monitoring system
CN111879522A (en) Steam turbine operation monitoring and fault distinguishing method and system based on time sequence probability
CN116596323B (en) Magnetic material production safety monitoring system and method based on big data
CN114064911B (en) Expert knowledge base modeling method and system for intelligent diagnosis system of nuclear power plant
CN115795284A (en) A Preprocessing Method for Transient Monitoring Data of Nuclear Power Plant
CN115755664A (en) Maintenance method and system for manufacturing equipment of discrete enterprise

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant