CN111650502A - A method for evaluating the aging state of relays based on electromagnetic signals - Google Patents
A method for evaluating the aging state of relays based on electromagnetic signals Download PDFInfo
- Publication number
- CN111650502A CN111650502A CN202010142929.3A CN202010142929A CN111650502A CN 111650502 A CN111650502 A CN 111650502A CN 202010142929 A CN202010142929 A CN 202010142929A CN 111650502 A CN111650502 A CN 111650502A
- Authority
- CN
- China
- Prior art keywords
- relay
- electromagnetic signal
- sample
- target
- aging
- 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.)
- Pending
Links
- 230000032683 aging Effects 0.000 title claims abstract description 74
- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000011156 evaluation Methods 0.000 claims abstract description 24
- 230000009471 action Effects 0.000 claims abstract description 14
- 238000001914 filtration Methods 0.000 claims description 14
- 238000000354 decomposition reaction Methods 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims 3
- 238000012544 monitoring process Methods 0.000 abstract description 4
- 230000009466 transformation Effects 0.000 description 9
- 238000013480 data collection Methods 0.000 description 7
- 238000012545 processing Methods 0.000 description 4
- 238000009413 insulation Methods 0.000 description 3
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 230000035882 stress Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/327—Testing of circuit interrupters, switches or circuit-breakers
- G01R31/3277—Testing of circuit interrupters, switches or circuit-breakers of low voltage devices, e.g. domestic or industrial devices, such as motor protections, relays, rotation switches
- G01R31/3278—Testing of circuit interrupters, switches or circuit-breakers of low voltage devices, e.g. domestic or industrial devices, such as motor protections, relays, rotation switches of relays, solenoids or reed switches
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R23/00—Arrangements for measuring frequencies; Arrangements for analysing frequency spectra
- G01R23/16—Spectrum analysis; Fourier analysis
- G01R23/165—Spectrum analysis; Fourier analysis using filters
- G01R23/167—Spectrum analysis; Fourier analysis using filters with digital filters
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R29/00—Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
- G01R29/08—Measuring electromagnetic field characteristics
- G01R29/0864—Measuring electromagnetic field characteristics characterised by constructional or functional features
- G01R29/0892—Details related to signal analysis or treatment; presenting results, e.g. displays; measuring specific signal features other than field strength, e.g. polarisation, field modes, phase, envelope, maximum value
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Mathematical Physics (AREA)
- Testing Electric Properties And Detecting Electric Faults (AREA)
Abstract
本发明涉及一种基于电磁信号评估继电器老化状态的方法，包括数据采集和实际评估；数据采集的方法为：选取目标继电器同型号且处于不同老化状态下的若干继电器作为样本继电器，分别采集各样本继电器在动作时发出的电磁信号作为样本电磁信号，并分别由各样本电磁信号中提取各样本继电器对应的特征信息，并建立老化特征数据库；实际评估的方法为：采集目标继电器在动作时发出的电磁信号作为目标电磁信号，由目标电磁信号中提取目标继电器对应的特征信息，并基于目标继电器对应的特征信息和老化特征数据库得到目标继电器的老化状态。本发明利用电磁信号对继电器的老化状态进行评估，评估结果较为准确可靠，能够实现对继电器老化状态的在线监测。
The invention relates to a method for evaluating the aging state of relays based on electromagnetic signals, including data acquisition and actual evaluation; the data acquisition method is as follows: selecting a number of relays of the same type of target relay and in different aging states as sample relays, and collecting each sample separately The electromagnetic signal emitted by the relay during the action is taken as the sample electromagnetic signal, and the characteristic information corresponding to each sample relay is extracted from the electromagnetic signal of each sample, and the aging characteristic database is established; The electromagnetic signal is used as the target electromagnetic signal, the characteristic information corresponding to the target relay is extracted from the target electromagnetic signal, and the aging state of the target relay is obtained based on the characteristic information corresponding to the target relay and the aging characteristic database. The invention uses electromagnetic signals to evaluate the aging state of the relay, the evaluation result is more accurate and reliable, and the on-line monitoring of the aging state of the relay can be realized.
Description
技术领域technical field
本发明属于电子器件状态评估技术领域，具体涉及一种评估继电器老化状态的方法。The invention belongs to the technical field of electronic device state evaluation, and in particular relates to a method for evaluating the aging state of a relay.
背景技术Background technique
继电器是各领域常用且重要的电子器件。例如，继电器是核电厂运行的关键节点，直接影响核电厂的安全性、可靠性和经济性，国内多个核电厂曾因继电器故障导致跳机跳堆。Relays are commonly used and important electronic devices in various fields. For example, the relay is a key node in the operation of the nuclear power plant, which directly affects the safety, reliability and economy of the nuclear power plant. Many domestic nuclear power plants have tripped the reactor due to the failure of the relay.
核电厂继电器在长期运行中，其组件在多种老化应力的作用下会发生老化降级。继电器老化相关的参数有两类，一类是继电器的运行工况参数（主要包括温度、湿度、振动以及化学参数），另一类是老化敏感参数，包括：接触电阻、线圈直流电阻、绝缘电阻、动作电压（电流）和返回电压（电流）、动作时间和返回时间以及回跳时间等。对于应用于不同环境下、有不同用途的继电器，其敏感参数可能略有不同。目前，核电厂继电器的运行工况参数可以进行实时在线监测，但是核电厂继电器的老化敏感参数尚无法实现在线监测，一般都是在停机断电时进行离线测量。因此，有必要研究新的评估继电器老化状态的方法。In the long-term operation of the nuclear power plant relay, its components will experience aging degradation under the action of various aging stresses. There are two types of parameters related to relay aging, one is the operating condition parameters of the relay (mainly including temperature, humidity, vibration and chemical parameters), and the other is aging sensitive parameters, including: contact resistance, coil DC resistance, insulation resistance , Action voltage (current) and return voltage (current), action time and return time, and bounce time, etc. For relays that are used in different environments and have different purposes, their sensitive parameters may be slightly different. At present, real-time online monitoring of operating parameters of relays in nuclear power plants can be carried out, but the aging-sensitive parameters of relays in nuclear power plants cannot be monitored online. Generally, offline measurement is performed during shutdown and power failure. Therefore, it is necessary to study new methods for evaluating the aging state of relays.
发明内容SUMMARY OF THE INVENTION
本发明的目的是提供一种易于实施、且能够在线监测的基于电磁信号评估继电器老化状态的方法。The purpose of the present invention is to provide a method for evaluating the aging state of a relay based on electromagnetic signals, which is easy to implement and can be monitored online.
为达到上述目的，本发明采用的技术方案是：To achieve the above object, the technical scheme adopted in the present invention is:
一种基于电磁信号评估继电器老化状态的方法，用于评估目标继电器的老化状态，所述基于电磁信号评估继电器老化状态的方法包括数据采集和实际评估；A method for evaluating the aging state of a relay based on an electromagnetic signal, for evaluating the aging state of a target relay, the method for evaluating the aging state of a relay based on an electromagnetic signal includes data acquisition and actual evaluation;
所述数据采集的方法为：选取所述目标继电器同型号且处于不同老化状态下的若干继电器作为样本继电器，分别采集各所述样本继电器在动作时发出的电磁信号作为样本电磁信号，并分别由各所述样本电磁信号中提取各所述样本继电器对应的特征信息，基于所述样本继电器的老化状态和对应的特征信息建立该型号继电器的老化特征数据库；The method for data collection is as follows: selecting a number of relays of the same type of the target relay and in different aging states as sample relays, collecting the electromagnetic signals emitted by each of the sample relays when they are in action as the sample electromagnetic signals, and using them respectively by the sample relays. Extracting characteristic information corresponding to each of the sample relays from each of the sample electromagnetic signals, and establishing an aging characteristic database of the relay of this type based on the aging state of the sample relay and the corresponding characteristic information;
所述实际评估的方法为：采集所述目标继电器在动作时发出的电磁信号作为目标电磁信号，由所述目标电磁信号中提取所述目标继电器对应的特征信息，并基于所述目标继电器对应的特征信息和所述老化特征数据库得到所述目标继电器的老化状态。The actual evaluation method is as follows: collecting the electromagnetic signal emitted by the target relay during operation as the target electromagnetic signal, extracting the characteristic information corresponding to the target relay from the target electromagnetic signal, and based on the corresponding characteristic information of the target relay. The characteristic information and the aging characteristic database obtain the aging state of the target relay.
所述数据采集的方法中，采用天线采集所述样本继电器在动作时发出的电磁信号。In the method for data collection, an antenna is used to collect electromagnetic signals emitted by the sample relay when it operates.
所述数据采集的方法中，由所述样本电磁信号中提取所述样本继电器对应的特征信息的方法为：先对所述样本电磁信号进行滤波，再对滤波后的所述样本电磁信号进行HHT变换而得到所述样本继电器对应的特征信息；In the method for data collection, the method for extracting the characteristic information corresponding to the sample relay from the sample electromagnetic signal is: first filter the sample electromagnetic signal, and then perform HHT on the filtered sample electromagnetic signal. Transform to obtain characteristic information corresponding to the sample relay;
所述实际评估的方法中，由所述目标电磁信号中提取所述目标继电器对应的特征信息的方法为：先对所述目标电磁信号进行滤波，再对滤波后的所述目标电磁信号进行HHT变换而得到所述目标继电器对应的特征信息。In the actual evaluation method, the method of extracting the characteristic information corresponding to the target relay from the target electromagnetic signal is: firstly filter the target electromagnetic signal, and then perform HHT on the filtered target electromagnetic signal. Transform to obtain feature information corresponding to the target relay.
所述数据采集的方法中，先对所述样本电磁信号进行低通滤波或带通滤波；所述实际评估的方法中，先对所述目标电磁信号进行低通滤波或带通滤波。In the data acquisition method, low-pass filtering or band-pass filtering is first performed on the sample electromagnetic signal; in the actual evaluation method, low-pass filtering or band-pass filtering is first performed on the target electromagnetic signal.
所述数据采集的方法中，对滤波后的所述样本电磁信号进行HHT变换而得到所述样本继电器对应的特征信息的方法为：对滤波后的所述样本电磁信号经过HHT变换进行经验模态分解而得到其各个时域分量，根据设定的相关系数选取部分所述时域分量，并基于所选取的部分所述时域分量计算3个无量纲指标参数和归一化能量值，将3个所述无量纲指标参数和所述归一化能量值组成所述样本电磁信号的多域特征向量并作为所述样本继电器的特征信息；In the method for data collection, the method of performing HHT transformation on the filtered sample electromagnetic signal to obtain characteristic information corresponding to the sample relay is: performing an empirical mode on the filtered sample electromagnetic signal through HHT transformation. Decompose to obtain its respective time domain components, select some of the time domain components according to the set correlation coefficient, and calculate 3 dimensionless index parameters and normalized energy values based on the selected part of the time domain components, and 3 The dimensionless index parameters and the normalized energy value form a multi-domain feature vector of the sample electromagnetic signal and serve as the feature information of the sample relay;
所述实际评估中，对滤波后的所述目标电磁信号进行HHT变换而得到所述目标继电器对应的特征信息的方法为：对滤波后的所述目标电磁信号经过HHT变换进行经验模态分解而的到其各个时域分量，根据设定的相关系数选取部分所述时域分量，并基于所选取的部分所述时域分量计算3个无量纲指标参数和归一化能量值，将3个所述无量纲指标参数和所述归一化能量值组成所述目标电磁信号的多域特征向量并作为所述目标继电器的特征信息。In the actual evaluation, the method of performing HHT transformation on the filtered target electromagnetic signal to obtain characteristic information corresponding to the target relay is: performing empirical modal decomposition on the filtered target electromagnetic signal through HHT transformation to obtain the characteristic information corresponding to the target relay. to its respective time domain components, select some of the time domain components according to the set correlation coefficient, and calculate 3 dimensionless index parameters and normalized energy values based on the selected part of the time domain components, The dimensionless index parameter and the normalized energy value form a multi-domain feature vector of the target electromagnetic signal and serve as feature information of the target relay.
所述实际评估中，基于所述目标继电器对应的特征信息所匹配的所述老化特征数据库中所述样本继电器对应的特征信息，确定所述目标继电器的老化状态和特征信息与其匹配的所述样本继电器的老化状态相同。In the actual evaluation, based on the characteristic information corresponding to the sample relay in the aging characteristic database matched with the characteristic information corresponding to the target relay, determine the aging state of the target relay and the sample to which the characteristic information matches. The aging state of the relay is the same.
在所述目标继电器工作时，通过所述实际评估的方法对其老化状态进行在线评估。When the target relay is working, its aging state is evaluated online by the method of actual evaluation.
由于上述技术方案运用，本发明与现有技术相比具有下列优点：本发明利用电磁信号对继电器的老化状态进行评估，评估结果较为准确可靠，且该方法易于实施，能够实现对继电器老化状态的在线监测。Due to the application of the above-mentioned technical solutions, the present invention has the following advantages compared with the prior art: the present invention utilizes electromagnetic signals to evaluate the aging state of the relay, the evaluation result is more accurate and reliable, and the method is easy to implement, and can realize the evaluation of the aging state of the relay. Online Monitoring.
附图说明Description of drawings
附图1为本发明的基于电磁信号评估继电器老化状态的方法的流程图。FIG. 1 is a flowchart of a method for evaluating the aging state of a relay based on an electromagnetic signal according to the present invention.
具体实施方式Detailed ways
下面结合附图所示的实施例对本发明作进一步描述。The present invention will be further described below with reference to the embodiments shown in the accompanying drawings.
实施例一：继电器在动作时，线圈得电或失电、触点结合或分离，都向空间辐射或电路传导一系列电磁波，是电磁干扰的重要来源。这个电磁波是有规律的：首先，与继电器动作时序一致，反映了延时整定值、动作时间、释放时间等参数；其次，将该电磁波细分为线圈电磁波和触点电磁波，线圈电磁波可反映线圈绝缘老化状态、线圈阻抗，触点电磁波可反映触点接触状态、触点老化劣化状态等信息。Embodiment 1: When the relay is in action, the coil is energized or de-energized, the contacts are combined or separated, and a series of electromagnetic waves are transmitted to the space radiation or circuit, which is an important source of electromagnetic interference. This electromagnetic wave is regular: first, it is consistent with the action sequence of the relay, and reflects parameters such as the delay setting value, action time, release time, etc.; secondly, the electromagnetic wave is subdivided into coil electromagnetic waves and contact electromagnetic waves, and the coil electromagnetic wave can reflect the coil. Insulation aging state, coil impedance, and contact electromagnetic wave can reflect information such as contact contact state, contact aging and deterioration state, etc.
线圈绝缘不良、触点接触不良或触点老化的继电器，将在基础电磁波上叠加一系列高频杂波。因此，继电器动作电磁波是继电器机械、电气性能的综合表达，可视为继电器的“心电图”。通过检测继电器在不同老化阶段动作时的电磁信号，建立继电器基于电磁信号的老化数据模型，可实现核电机组在役继电器的老化状态在线监测。A relay with poor coil insulation, poor contact contact or aging contacts will superimpose a series of high-frequency clutter on the basic electromagnetic wave. Therefore, the electromagnetic wave of relay action is a comprehensive expression of the mechanical and electrical performance of the relay, which can be regarded as the "electrocardiogram" of the relay. By detecting the electromagnetic signals of the relays in different aging stages, and establishing the aging data model of the relays based on the electromagnetic signals, the on-line monitoring of the aging state of the in-service relays of nuclear power units can be realized.
基于上述原理，提出以下基于电磁信号评估继电器老化状态的方法，用来评估目标继电器的老化状态。Based on the above principles, the following method for evaluating the aging state of a relay based on an electromagnetic signal is proposed to evaluate the aging state of the target relay.
如附图1所示，该基于电磁信号评估继电器老化状态的方法包括数据采集和实际评估两个大的实施阶段。As shown in FIG. 1 , the method for evaluating the aging state of a relay based on an electromagnetic signal includes two major implementation stages: data acquisition and actual evaluation.
1）数据采集阶段1) Data collection stage
数据采集的方法为：The method of data collection is:
选取目标继电器同型号且处于不同老化状态下的若干继电器作为样本继电器，基于不同老化状态所选取的样本继电器包括全新样本、轻度老化样本、中度老化样本、重度老化同样本和不可接收样本。Select several relays of the same type as the target relay and in different aging states as sample relays. The sample relays selected based on different aging states include new samples, mildly aged samples, moderately aged samples, heavily aged samples and unacceptable samples.
利用天线分别采集各样本继电器在动作时发出的电磁信号作为样本电磁信号，所采集到的信号及其数据上传到计算机进行后续处理分析。The antennas are used to collect the electromagnetic signals emitted by the sample relays when they are in action as the sample electromagnetic signals, and the collected signals and their data are uploaded to the computer for subsequent processing and analysis.
分别由各样本电磁信号中提取各样本继电器对应的特征信息。具体的，前述初步采集到的样本电磁信号的数据中不可避免会夹杂各种噪声，有必要通过有效的方法将样本电磁信号中的噪声部分去除，以凸显采集到的样本电磁信号中的有效信息。故先对各样本信号进行滤波，可以选用低通滤波或贷通滤波将既定频段信号去除，以便进行下一步信号处理。继电器的电磁信号为典型的非平稳信号，出现故障或者老化程度较大是，电磁信号的非平稳性表现得更加明显。信号分析处理的常用方法有FFT变换，该方法适应于周期性变化均匀的平稳信号，进而得到全局的频率信息，因而其不适用与继电器的电磁信号分析处理中。本方案中，对滤波后的样本电磁信号进行HHT变换（希尔伯特-黄变换）而得到样本继电器对应的特征信息。HHT变换是处理非平稳信号的工具，其自适应的分解形式能够很好地处理非平稳信号，所以选用HHT变换对继电器动作时的电磁信号进行分解并提取特征信息。Feature information corresponding to each sample relay is extracted from each sample electromagnetic signal. Specifically, various noises will inevitably be mixed in the data of the sample electromagnetic signals that are initially collected. It is necessary to remove the noise part of the sample electromagnetic signals by an effective method to highlight the effective information in the collected sample electromagnetic signals. . Therefore, each sample signal is filtered first, and low-pass filtering or credit-pass filtering can be selected to remove the signal in the predetermined frequency band, so as to carry out the next signal processing. The electromagnetic signal of the relay is a typical non-stationary signal, and the non-stationarity of the electromagnetic signal is more obvious when there is a fault or a large degree of aging. The common method of signal analysis and processing is FFT transformation. This method is suitable for stationary signals with uniform periodic changes, and then obtains global frequency information. Therefore, it is not suitable for the analysis and processing of electromagnetic signals of relays. In this solution, HHT transform (Hilbert-Huang transform) is performed on the filtered sample electromagnetic signal to obtain characteristic information corresponding to the sample relay. HHT transform is a tool for dealing with non-stationary signals, and its adaptive decomposition form can handle non-stationary signals well. Therefore, HHT transform is used to decompose the electromagnetic signal when the relay operates and extract characteristic information.
继电器在老化不同阶段其电磁信号波动具有其特殊性，老化后继电器电磁信号经过HHT变化分解后得到的各分量的时域特征代表了信号的部分特性，为了联合时域频域特征，需要提取信号分解的各分量的时域特性作为老化不同程度特征的一部分。故基于HHT变换对滤波后的样本电磁信号进行HHT变换而得到样本继电器对应的特征信息的方法包括以下步骤：The electromagnetic signal fluctuation of relays in different stages of aging has its particularity. After aging, the electromagnetic signal of the relay is decomposed by the HHT change and the time-domain characteristics of each component represent some characteristics of the signal. In order to combine the time-domain and frequency-domain characteristics, it is necessary to extract the signal. The time-domain characteristics of the decomposed components are used as part of the characteristics of different degrees of aging. Therefore, the method for performing HHT transformation on the filtered sample electromagnetic signal based on the HHT transformation to obtain the characteristic information corresponding to the sample relay includes the following steps:
①对滤波后的样本电磁信号经过HHT变换进行经验模态分解而得到其各个时域分量，特别是得到相关系数较高的分量；① Carry out empirical mode decomposition on the filtered sample electromagnetic signal through HHT transform to obtain its various time domain components, especially the components with higher correlation coefficients;
②根据设定的相关系数选取部分时域分量；②Select some time domain components according to the set correlation coefficient;
③基于所选取的部分时域分量计算3个无量纲指标（峭度指标、裕度指标和脉冲指标）参数和归一化能量值，将3个无量纲指标参数和归一化能量值组成样本电磁信号的多域特征向量并作为样本继电器的特征信息。③ Calculate three dimensionless index parameters (kurtosis index, margin index and impulse index) and normalized energy value based on the selected part of the time domain components, and combine the three dimensionless index parameters and normalized energy value into a sample The multi-domain eigenvectors of the electromagnetic signal are used as the characteristic information of the sample relay.
根据上述步骤，提取完各样本电磁信号的特征信息后，积累实验数据，最终建立继电器电磁信号的特征信息与老化状态之间的关联，基于样本继电器的老化状态和对应的特征信息建立该型号继电器的老化特征数据库。According to the above steps, after extracting the characteristic information of each sample electromagnetic signal, accumulate the experimental data, finally establish the correlation between the characteristic information of the relay electromagnetic signal and the aging state, and establish the relay of this model based on the aging state of the sample relay and the corresponding characteristic information. database of aging characteristics.
2）实际评估阶段2) The actual evaluation stage
实际评估的方法为：采集目标继电器在动作时发出的电磁信号作为目标电磁信号，由目标电磁信号中提取目标继电器对应的特征信息，并基于目标继电器对应的特征信息和老化特征数据库得到目标继电器的老化状态。The actual evaluation method is: collecting the electromagnetic signal emitted by the target relay when it is in action as the target electromagnetic signal, extracting the characteristic information corresponding to the target relay from the target electromagnetic signal, and obtaining the characteristic information of the target relay based on the characteristic information corresponding to the target relay and the aging characteristic database. Aging state.
该方法中，对目标电磁信号的采集、从中提取特征信息的方法与数据采集阶段中针对样本继电器所做的样本电磁信号采集和提取特征信息的方法相同，故该步骤具体为：先对目标电磁信号进行滤波，包括通滤波或带通滤波；再对滤波后的目标电磁信号进行HHT变换而得到目标继电器对应的特征信息，即对滤波后的目标电磁信号经过HHT变换进行经验模态分解而的到其各个时域分量，根据设定的相关系数选取部分时域分量，并基于所选取的部分时域分量计算3个无量纲指标参数和归一化能量值，将3个无量纲指标参数和归一化能量值组成目标电磁信号的多域特征向量并作为目标继电器的特征信息。In this method, the method of collecting the target electromagnetic signal and extracting the characteristic information from it is the same as the method of collecting the sample electromagnetic signal and extracting the characteristic information for the sample relay in the data collection stage. The signal is filtered, including pass filtering or band-pass filtering; then the filtered target electromagnetic signal is subjected to HHT transformation to obtain the characteristic information corresponding to the target relay, that is, the filtered target electromagnetic signal is subjected to empirical modal decomposition through HHT transformation. To each time domain component, select some time domain components according to the set correlation coefficient, and calculate three dimensionless index parameters and normalized energy values based on the selected partial time domain components, and combine the three dimensionless index parameters and The normalized energy value constitutes the multi-domain feature vector of the target electromagnetic signal and serves as the feature information of the target relay.
在提取目标继电器的特征信息后，基于目标继电器对应的特征信息所匹配的老化特征数据库中样本继电器对应的特征信息，确定目标继电器的老化状态和特征信息与其匹配的样本继电器的老化状态相同，即可确定目标继电器的实际老化状态。After extracting the feature information of the target relay, based on the feature information corresponding to the sample relay in the aging feature database matched with the feature information corresponding to the target relay, it is determined that the aging state and feature information of the target relay are the same as the aging state of the matched sample relay, that is, The actual aging state of the target relay can be determined.
上述实际评估阶段的方法可以在不拆卸继电器的情况下，在目标继电器工作时实施，从而对目标继电器的老化状态进行在线评估，。The above method in the actual evaluation stage can be implemented when the target relay is working without disassembling the relay, so as to perform an online evaluation of the aging state of the target relay.
上述实施例只为说明本发明的技术构思及特点，其目的在于让熟悉此项技术的人士能够了解本发明的内容并据以实施，并不能以此限制本发明的保护范围。凡根据本发明精神实质所作的等效变化或修饰，都应涵盖在本发明的保护范围之内。The above-mentioned embodiments are only intended to illustrate the technical concept and characteristics of the present invention, and the purpose thereof is to enable those who are familiar with the art to understand the content of the present invention and implement them accordingly, and cannot limit the protection scope of the present invention. All equivalent changes or modifications made according to the spirit of the present invention should be included within the protection scope of the present invention.
Claims (7)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010142929.3A CN111650502A (en) | 2020-03-04 | 2020-03-04 | A method for evaluating the aging state of relays based on electromagnetic signals |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010142929.3A CN111650502A (en) | 2020-03-04 | 2020-03-04 | A method for evaluating the aging state of relays based on electromagnetic signals |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111650502A true CN111650502A (en) | 2020-09-11 |
Family
ID=72341861
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010142929.3A Pending CN111650502A (en) | 2020-03-04 | 2020-03-04 | A method for evaluating the aging state of relays based on electromagnetic signals |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111650502A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113051713A (en) * | 2021-03-01 | 2021-06-29 | 东方电气集团科学技术研究院有限公司 | Composite material aging prediction method based on image gray level co-occurrence matrix multi-feature extraction |
| CN116186588A (en) * | 2023-03-03 | 2023-05-30 | 北京工业大学 | A Time-Frequency Domain Feature Parameter Extraction Method of Magneto-Acoustic Emission Signal |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202631644U (en) * | 2011-12-08 | 2012-12-26 | 中国航天科工集团第二研究院七0六所 | Mobile electromagnetic environment monitoring system |
| US20150208374A1 (en) * | 2014-01-17 | 2015-07-23 | Position Imaging, Inc. | Wireless relay station for radio frequency-based tracking system |
| CN106017879A (en) * | 2016-05-18 | 2016-10-12 | 河北工业大学 | Universal circuit breaker mechanical fault diagnosis method based on feature fusion of vibration and sound signals |
| CN108490271A (en) * | 2018-02-27 | 2018-09-04 | 西南交通大学 | It is a kind of distribution high ferro along electromagnetic interference real-time monitoring device and its method |
| US20190041450A1 (en) * | 2015-12-01 | 2019-02-07 | Yandong LV | An intelligent assessment method of main insulation condition of transformer oil paper insulation |
| CN109960706A (en) * | 2019-01-24 | 2019-07-02 | 台州职业技术学院 | Data allocation method based on distribution network health index evaluation |
| CN110442516A (en) * | 2019-07-12 | 2019-11-12 | 上海陆家嘴国际金融资产交易市场股份有限公司 | Information processing method, equipment and computer readable storage medium |
| CN110576335A (en) * | 2019-09-09 | 2019-12-17 | 北京航空航天大学 | An Online Monitoring Method of Tool Wear Based on Cutting Force |
-
2020
- 2020-03-04 CN CN202010142929.3A patent/CN111650502A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202631644U (en) * | 2011-12-08 | 2012-12-26 | 中国航天科工集团第二研究院七0六所 | Mobile electromagnetic environment monitoring system |
| US20150208374A1 (en) * | 2014-01-17 | 2015-07-23 | Position Imaging, Inc. | Wireless relay station for radio frequency-based tracking system |
| US20190041450A1 (en) * | 2015-12-01 | 2019-02-07 | Yandong LV | An intelligent assessment method of main insulation condition of transformer oil paper insulation |
| CN106017879A (en) * | 2016-05-18 | 2016-10-12 | 河北工业大学 | Universal circuit breaker mechanical fault diagnosis method based on feature fusion of vibration and sound signals |
| CN108490271A (en) * | 2018-02-27 | 2018-09-04 | 西南交通大学 | It is a kind of distribution high ferro along electromagnetic interference real-time monitoring device and its method |
| CN109960706A (en) * | 2019-01-24 | 2019-07-02 | 台州职业技术学院 | Data allocation method based on distribution network health index evaluation |
| CN110442516A (en) * | 2019-07-12 | 2019-11-12 | 上海陆家嘴国际金融资产交易市场股份有限公司 | Information processing method, equipment and computer readable storage medium |
| CN110576335A (en) * | 2019-09-09 | 2019-12-17 | 北京航空航天大学 | An Online Monitoring Method of Tool Wear Based on Cutting Force |
Non-Patent Citations (3)
| Title |
|---|
| 付饶: "电磁继电器故障状态的模拟与诊断研究", 《工程科技Ⅱ辑》 * |
| 张清华等: "基于经验模态分解的无量纲指标故障诊断定位", 《上海应用技术学院学报》 * |
| 张盼盼: "基于电磁信号的接触器故障识别研究", 《工程科技Ⅱ辑》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113051713A (en) * | 2021-03-01 | 2021-06-29 | 东方电气集团科学技术研究院有限公司 | Composite material aging prediction method based on image gray level co-occurrence matrix multi-feature extraction |
| CN116186588A (en) * | 2023-03-03 | 2023-05-30 | 北京工业大学 | A Time-Frequency Domain Feature Parameter Extraction Method of Magneto-Acoustic Emission Signal |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111044902B (en) | Motor fault diagnosis method based on current and voltage signals | |
| CN109633431B (en) | On-load tap-changer fault identification method based on vibration signal feature extraction | |
| CN104964738A (en) | Noise separation-based power transformer noise assessment method | |
| CN106441547A (en) | Transformer vibration monitoring method and apparatus | |
| CN111650501B (en) | Testing device for nondestructive online evaluation of aging state of relay | |
| CN110146268A (en) | A Method of OLTC Fault Diagnosis Based on Mean Decomposition Algorithm | |
| CN106404399B (en) | Method for Bearing Fault Diagnosis based on self-adaptive redundant Lifting Wavelet packet decomposition tree | |
| CN103675544A (en) | Power system fault signal detection and waveform identification method based on optimization algorithm | |
| CN111650502A (en) | A method for evaluating the aging state of relays based on electromagnetic signals | |
| CN114201991A (en) | Partial discharge signal detection method and system based on ultrasonic sensor array | |
| CN116449256A (en) | Transformer state fault diagnosis system and method based on voiceprint sensing | |
| CN116884432A (en) | Voiceprint diagnosis method of power transformer fault based on VMD-JS divergence | |
| CN116660691A (en) | Photovoltaic box-type transformer fault monitoring method | |
| CN108089100B (en) | The detection method of small current neutral grounding system arc light resistance ground fault | |
| Xu et al. | Rolling bearing fault feature extraction via improved SSD and a singular-value energy autocorrelation coefficient spectrum | |
| Liu et al. | Identification of major power quality disturbance sources in regional grid based on monitoring data correlation analysis | |
| CN117269660A (en) | Fault arc detection method and system based on variation coefficient difference algorithm | |
| CN114397545A (en) | GIS on-line monitoring system based on composite sensor | |
| Zheng et al. | Wavelet packet decomposition and neural network based fault diagnosis for elevator excessive vibration | |
| CN120123936A (en) | Electric energy metering data reliability verification system and method based on the fusion of random forest and deep belief network | |
| CN112034252B (en) | MOA resistive current extraction method | |
| Abd Rahman et al. | Construction of finite impulse wavelet filter for partial discharge localisation inside a transformer winding | |
| CN117290788A (en) | A distribution network fault identification method and system based on improved wavelet transform algorithm | |
| CN116223955A (en) | A voiceprint diagnosis method for typical faults of power transformers based on HPO-SVM | |
| Hejtmanek et al. | Comparison of two denoising techniques to improve UHF partial discharge localization |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200911 |