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CN104267097A - Determination method of fan blade crack position - Google Patents

Determination method of fan blade crack position Download PDF

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Publication number
CN104267097A
CN104267097A CN201410469897.2A CN201410469897A CN104267097A CN 104267097 A CN104267097 A CN 104267097A CN 201410469897 A CN201410469897 A CN 201410469897A CN 104267097 A CN104267097 A CN 104267097A
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blade
crack
radial position
crackle
depth
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付胜
高银波
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Beijing University of Technology
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Beijing University of Technology
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Abstract

本发明公开了一种风机叶片裂纹位置确定方法,所述方法包括以下步骤:S1、模拟叶片不同位置发生裂纹故障,并计算其前三阶固有频率;S2、以每阶所述固有频率、裂纹的相对深度、裂纹的相对径向位置为坐标轴,绘制固有频率解曲面图,构造故障样本库;S3、叶片故障诊断时,通过计算获得叶片的前三阶固有频率,将其反向输入到所述故障样本库;S4、利用等高线法进行求解,得到裂纹所在的深度和径向位置。本发明的方法利用等高线法求解叶片裂纹产生的位置,不仅实现了对风机叶片裂纹的及时诊断,还实现了对风机叶片裂纹位置的定量分析,诊断速度快且结果可靠,为设备维护提供了有力保障。

The invention discloses a method for determining the crack position of a fan blade. The method comprises the following steps: S1, simulating the occurrence of crack faults at different positions of the blade, and calculating the first three natural frequencies; The relative depth of the crack and the relative radial position of the crack are the coordinate axes, and the natural frequency solution surface diagram is drawn to construct the fault sample library; S3. During the fault diagnosis of the blade, the first three natural frequencies of the blade are obtained by calculation, and they are reversely input to the The fault sample library; S4, using the contour method to solve the problem, and obtain the depth and radial position of the crack. The method of the present invention uses the contour line method to solve the position of the blade crack, not only realizes the timely diagnosis of the fan blade crack, but also realizes the quantitative analysis of the fan blade crack position, the diagnosis speed is fast and the result is reliable, and it provides equipment maintenance. a strong guarantee.

Description

一种风机叶片裂纹位置确定方法A method for determining the location of cracks in fan blades

技术领域technical field

本发明涉及设备故障诊断技术领域,更具体涉及一种风机叶片裂纹位置确定方法。The invention relates to the technical field of equipment fault diagnosis, and more particularly relates to a method for determining the crack position of a fan blade.

背景技术Background technique

风机因其风压稳定、风量大、效率高、噪声小等特点,广泛应用于工厂、矿井、隧道、冷却塔、船舶和建筑物的通风、排尘和冷却,为安全生产提供了基本保障。风机叶轮系统是风机的核心部件,它担负着把电能转化为机械能的重要任务。叶轮在工作过程中承受着离心力、流体动力、振动、温差、工作介质等的综合作用,应力状况比较复杂。特别在实际工作中,叶片的工作环境更加恶劣,不但要经历启动、停机,还经常在非设计工况下运行。这些稳定和非稳定因素造成的复杂的气流激励力及变化的离心力使得叶片因自振频率和激励源频率一致而产生共振破坏,加之因制造、安装误差和加工应力等因素的综合影响,降低了叶片的抗疲劳能力,造成叶片的疲劳损坏,使之产生裂纹,并对整个机组的安全运行带来严重的威胁,甚至导致重大事故的发生。Fans are widely used in ventilation, dust removal and cooling in factories, mines, tunnels, cooling towers, ships and buildings because of their characteristics of stable wind pressure, large air volume, high efficiency and low noise, providing a basic guarantee for safe production. The fan impeller system is the core component of the fan, and it is responsible for the important task of converting electrical energy into mechanical energy. During the working process, the impeller bears the comprehensive effects of centrifugal force, fluid power, vibration, temperature difference, working medium, etc., and the stress condition is relatively complicated. Especially in actual work, the working environment of the blade is even worse. Not only do they have to go through start-up and shutdown, but they often operate under non-design conditions. The complex airflow excitation force and changing centrifugal force caused by these stable and unstable factors cause the blade to have resonance damage due to the consistency of the natural frequency and the frequency of the excitation source. In addition, due to the comprehensive influence of manufacturing, installation errors and processing stress, etc. The anti-fatigue ability of the blade will cause the fatigue damage of the blade and cause cracks, which will pose a serious threat to the safe operation of the entire unit, and even lead to major accidents.

风机的工作环境中往往有很强的背景噪声,利用传感器获取到的风机的状态信号常伴随着环境噪声的干扰。现有的叶片裂纹诊断方法,不论是基于声发射技术还是依靠对获取到的振动信号进行频谱分析,只能诊断出叶片是否存在裂纹,而不能具体的检测到裂纹发生的位置,不能有效避免叶片裂纹带来的经济损失,同时也加大了设备维护的难度。There is often strong background noise in the working environment of the fan, and the status signal of the fan obtained by the sensor is often accompanied by the interference of the environmental noise. The existing blade crack diagnosis methods, whether based on acoustic emission technology or relying on spectrum analysis of the acquired vibration signals, can only diagnose whether there is a crack in the blade, but cannot specifically detect the location of the crack, and cannot effectively avoid blade cracks. The economic losses caused by cracks also increase the difficulty of equipment maintenance.

发明内容Contents of the invention

(一)要解决的技术问题(1) Technical problems to be solved

本发明要解决的技术问题是如何确定叶片是否发生裂纹,以及裂纹发生的位置。The technical problem to be solved by the invention is how to determine whether a crack occurs in the blade and where the crack occurs.

(二)技术方案(2) Technical solutions

为了解决上述技术问题,本发明提供了一种风机叶片裂纹位置确定方法,包括以下步骤:In order to solve the above technical problems, the present invention provides a method for determining the location of a fan blade crack, comprising the following steps:

S1、模拟叶片不同位置发生裂纹故障,并计算其前三阶固有频率;S1. Simulate the occurrence of crack faults at different positions of the blade, and calculate the first three natural frequencies;

S2、以每阶所述固有频率、裂纹的相对深度、裂纹的相对径向位置为坐标轴,绘制固有频率解曲面图,构造故障样本库;S2. Taking the natural frequency of each order, the relative depth of the crack, and the relative radial position of the crack as coordinate axes, draw a natural frequency solution surface diagram, and construct a fault sample library;

S3、叶片故障诊断时,通过计算获得叶片的前三阶固有频率,将其反向输入到所述故障样本库;S3. During blade fault diagnosis, obtain the first three natural frequencies of the blade through calculation, and reversely input it into the fault sample library;

S4、利用等高线法进行求解,得到裂纹所在的径向位置和深度。S4. Using the contour method to solve the problem, the radial position and depth of the crack are obtained.

优选地,所述步骤S2中,裂纹的相对径向位置α为裂纹的径向位置l与叶片长度L之比α=l/L,其中,所述径向位置l从靠近叶轮的叶片根部开始计算,取值范围为0<l<L。Preferably, in the step S2, the relative radial position α of the crack is the ratio of the radial position l of the crack to the length L of the blade α=l/L, wherein the radial position l starts from the root of the blade close to the impeller Calculate, the value range is 0<l<L.

优选地,所述步骤S2中,裂纹的相对深度β为裂纹的深度b与叶片厚度h之比β=b/h,其中所述深度b从叶片的吸力面开始计算,取值范围为0<b<h。Preferably, in the step S2, the relative depth β of the crack is the ratio of the depth b of the crack to the thickness h of the blade β=b/h, wherein the depth b is calculated from the suction surface of the blade, and the value range is 0< b<h.

优选地,所述步骤S2中,以所述裂纹相对径向位置α为x轴,以所述裂纹相对深度β为y轴,以叶片每阶所述固有频率ω为z轴。Preferably, in the step S2, the relative radial position α of the crack is taken as the x-axis, the relative depth β of the crack is taken as the y-axis, and the natural frequency ω of each order of the blade is taken as the z-axis.

优选地,所述步骤S2中,固有频率解曲面为将第i阶所述固有频率ωi与所述相对径向位置α和所述相对深度β的关系,并且以所述相对径向位置α和所述相对深度β为变量,拟合成的曲面。Preferably, in the step S2, the natural frequency solution surface is the relationship between the i-th order natural frequency ω i and the relative radial position α and the relative depth β, and the relative radial position α and the relative depth β as variables, fitted into the surface.

优选地,所述步骤S4中,等高线法求解的过程为,将每阶所述固有频率代入到所述故障样本库中,绘制出对应的频率等高线图,然后将三幅所述频率等高线图绘制在同一平面上,得到的交点坐标对应裂纹的相对径向位置和相对深度,最后计算得到裂纹的径向位置和深度。Preferably, in the step S4, the process of solving by the contour line method is to substitute the natural frequency of each order into the fault sample library, draw the corresponding frequency contour map, and then use the three The frequency contour map is drawn on the same plane, and the obtained intersection coordinates correspond to the relative radial position and relative depth of the crack, and finally the radial position and depth of the crack are obtained by calculation.

(三)有益效果(3) Beneficial effects

本发明提供了一种风机叶片裂纹位置确定方法,与现有技术相比,本发明利用等高线法求解叶片裂纹产生的位置,不仅实现了对风机叶片裂纹的及时诊断,还实现了对风机叶片裂纹位置的定量分析,诊断速度快且结果可靠,为设备维护提供了有力保障,用于风机叶片裂纹故障的早期预警和定量检测,减少因故障造成的非计划性停产,从而降低经济损失。The invention provides a method for determining the location of a fan blade crack. Compared with the prior art, the invention uses the contour line method to solve the position of the blade crack, which not only realizes the timely diagnosis of the fan blade crack, but also realizes the fan Quantitative analysis of blade crack location, fast diagnosis and reliable results, provides a strong guarantee for equipment maintenance, and is used for early warning and quantitative detection of fan blade crack failures, reducing unplanned production shutdowns caused by failures, thereby reducing economic losses.

附图说明Description of drawings

为了更清楚地说明本发明实施例或现有技术中的技术方案,下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本发明的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

图1为本发明的一种风机叶片裂纹位置确定方法的流程图;Fig. 1 is a flow chart of a method for determining the location of a fan blade crack in the present invention;

图2a为风机叶片的结构示意图;Figure 2a is a schematic structural view of a fan blade;

图2b为图2a中A-A剖面图;Fig. 2b is A-A sectional view in Fig. 2a;

图3为本发明的一种风机叶片裂纹位置确定方法的固有频率解曲面示意图;Fig. 3 is a schematic diagram of the natural frequency solution surface of a method for determining the position of a fan blade crack in the present invention;

图4为本发明的一种风机叶片裂纹位置确定方法的等高线三维示意图;Fig. 4 is a three-dimensional schematic diagram of contour lines of a method for determining the position of a fan blade crack in the present invention;

图5为本发明的一种风机叶片裂纹位置确定方法的等高线平面示意图。Fig. 5 is a schematic diagram of a contour plane of a method for determining a crack location of a fan blade according to the present invention.

具体实施方式Detailed ways

下面结合附图和实施例对本发明作进一步详细描述。以下实施例用于说明本发明,但不能用来限制本发明的范围。The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but should not be used to limit the scope of the present invention.

图1为本发明的一种风机叶片裂纹位置确定方法的流程图;本法买那个的方法包括以下步骤:Fig. 1 is the flow chart of a kind of blower fan blade crack location determination method of the present invention; The method that this method buys that method comprises the following steps:

S1、模拟叶片不同位置发生裂纹故障,并计算其前三阶固有频率;S1. Simulate the occurrence of crack faults at different positions of the blade, and calculate the first three natural frequencies;

S2、以每阶所述固有频率、裂纹的相对深度、裂纹的相对径向位置为坐标轴,绘制固有频率解曲面图,构造故障样本库;S2. Taking the natural frequency of each order, the relative depth of the crack, and the relative radial position of the crack as coordinate axes, draw a natural frequency solution surface diagram, and construct a fault sample library;

S3、叶片故障诊断时,通过计算获得叶片的前三阶固有频率,将其反向输入到所述故障样本库;S3. During blade fault diagnosis, obtain the first three natural frequencies of the blade through calculation, and reversely input it into the fault sample library;

S4、利用等高线法进行求解,得到裂纹所在的深度和径向位置。S4. Using the contour method to solve the problem, the depth and radial position of the crack are obtained.

本发明利用等高线法求解叶片裂纹产生的位置,不仅实现了对风机叶片裂纹的及时诊断,还实现了对风机叶片裂纹位置的定量分析,诊断速度快且结果可靠,为设备维护提供了有力保障。The invention uses the contour line method to solve the position of the blade crack, not only realizes the timely diagnosis of the fan blade crack, but also realizes the quantitative analysis of the fan blade crack position, the diagnosis speed is fast and the result is reliable, and it provides a powerful tool for equipment maintenance. Assure.

所述步骤S2中,裂纹的相对径向位置α为裂纹的径向位置l与叶片长度L之比α=l/L,其中,径向位置l从靠近叶轮的叶片根部1开始计算,取值范围为0<l<L,如图2a所示;裂纹的相对深度β为裂纹的深度b与叶片厚度h之比β=b/h,其中所述深度b从叶片的吸力面2开始计算,取值范围为0<b<h,如图2b所示,3为压力面;以所述裂纹相对径向位置α为x轴,以所述裂纹相对深度β为y轴,以叶片每阶所述固有频率ω为z轴,利用样条曲面拟合技术拟合固有频率解曲面图;固有频率解曲面为将第i阶所述固有频率ωi与所述相对径向位置α和所述相对深度β的关系,并且以所述相对径向位置α和所述相对深度β为变量,拟合成的曲面,如图3所示。In the step S2, the relative radial position α of the crack is the ratio of the radial position l of the crack to the length L of the blade α=l/L, wherein the radial position l is calculated from the blade root 1 close to the impeller, and the value is The range is 0<l<L, as shown in Figure 2a; the relative depth β of the crack is the ratio β=b/h of the depth b of the crack to the thickness h of the blade, wherein the depth b is calculated from the suction surface 2 of the blade, The value range is 0<b<h, as shown in Figure 2b, 3 is the pressure surface; the relative radial position α of the crack is the x-axis, the relative depth β of the crack is the y-axis, and the The natural frequency ω is the z axis, and the natural frequency solution surface diagram is fitted by spline surface fitting technology; the natural frequency solution surface is the i-th order natural frequency ω i with the relative radial position α and the relative The relationship between the depth β, and the relative radial position α and the relative depth β are used as variables to fit a curved surface, as shown in FIG. 3 .

计算故障叶片固有频率时,可将叶片简化为矩形截面梁,则其前三阶固有频率的理论解为:When calculating the natural frequency of the faulty blade, the blade can be simplified as a rectangular cross-section beam, then the theoretical solution of the first three natural frequencies is:

ff 11 == 1.8751.875 22 22 &pi;&pi; EIEI mm &OverBar;&OverBar; LL 44 ,, ff 22 == 4.6944.694 22 22 &pi;&pi; EIEI mm &OverBar;&OverBar; LL 44 ,, ff 33 == 7.8557.855 22 22 &pi;&pi; EIEI mm &OverBar;&OverBar; LL 44 ,,

其中,E为叶片的弹性模量,L为叶片的长度,I为叶片的截面惯性矩,为叶片的单位长度质量。计算故障叶片的前三阶固有频率还可以采用其他的计算方法,并不局限于上述方法。Among them, E is the elastic modulus of the blade, L is the length of the blade, I is the section moment of inertia of the blade, is the mass per unit length of the blade. Other calculation methods can also be used to calculate the first three natural frequencies of the faulty blade, and are not limited to the above methods.

优选地,所述步骤S4中等高线法求解的过程为,将前三阶所述固有频率代入到所述故障样本库中,绘制出对应的频率等高线图,如图4所示,然后将三幅所述频率等高线图绘制在同一平面上,如图5所示,此时x轴表示裂纹的相对径向位置α,y轴表示裂纹的相对深度β,ω轴为固有频率,图5所示的平面视图中,必然有一个表征该裂纹参数的交点,所述交点坐标对应裂纹的相对径向位置和相对深度,最后计算得到裂纹的径向位置和深度;若没有得到交点,代表没有裂纹存在。Preferably, the process of solving by the contour method in the step S4 is to substitute the natural frequencies of the first three orders into the fault sample library, draw a corresponding frequency contour map, as shown in Figure 4, and then The three frequency contour maps are drawn on the same plane, as shown in Figure 5, at this time the x-axis represents the relative radial position α of the crack, the y-axis represents the relative depth β of the crack, and the ω-axis is the natural frequency, In the plane view shown in Figure 5, there must be an intersection point that characterizes the crack parameters, and the coordinates of the intersection point correspond to the relative radial position and relative depth of the crack, and finally calculate the radial position and depth of the crack; if no intersection point is obtained, Indicates that no cracks exist.

本发明提供的方法实现了对裂纹位置的定量分析,诊断速度快且结果可靠,为设备维护提供了有力保障,本发明的方法可用于风机叶片裂纹故障的早期预警和定量检测,减少因故障造成的非计划性停产,从而降低经济损失。The method provided by the invention realizes the quantitative analysis of the crack position, the diagnosis speed is fast and the result is reliable, which provides a strong guarantee for equipment maintenance. Unplanned shutdowns, thereby reducing economic losses.

以上实施方式仅用于说明本发明,而非对本发明的限制。尽管参照实施例对本发明进行了详细说明,本领域的普通技术人员应当理解,对本发明的技术方案进行各种组合、修改或者等同替换,都不脱离本发明技术方案的精神和范围,均应涵盖在本发明的权利要求范围当中。The above embodiments are only used to illustrate the present invention, but not to limit the present invention. Although the present invention has been described in detail with reference to the embodiments, those skilled in the art should understand that various combinations, modifications or equivalent replacements of the technical solutions of the present invention do not depart from the spirit and scope of the technical solutions of the present invention, and all should cover Within the scope of the claims of the present invention.

Claims (6)

1. a fan blade crack position defining method, is characterized in that, comprises the following steps:
S1, simulation blade diverse location generation crack fault, and calculate its first three rank natural frequency;
S2, with natural frequency, the relative depth of crackle, the fractional radial position of crackle described in every rank for coordinate axis, draw natural frequency solution surface chart, structure fault sample storehouse;
When S3, blade fault diagnosing, by calculating first three the rank natural frequency obtaining blade, it is oppositely input to described fault sample storehouse;
S4, utilize contouring method to solve, obtain radial position and the degree of depth at crackle place.
2. method according to claim 1, it is characterized in that, in described step S2, the fractional radial position α of crackle is the radial position l of crackle and the ratio α=l/L of length of blade L, wherein, described radial position l calculates from the root of blade near impeller, and span is 0<l<L.
3. method according to claim 1, it is characterized in that, in described step S2, the relative depth β of crackle is the degree of depth b of crackle and the ratio β=b/h of vane thickness h, wherein said degree of depth b calculates from the suction surface of blade, and span is 0<b<h.
4. the method according to claim 1 or 2 or 3, is characterized in that, in described step S2, with described crackle fractional radial position α for x-axis, with described crackle relative depth β for y-axis, with natural frequency ω described in the every rank of blade for z-axis.
5. method according to claim 5, is characterized in that, in described step S2, natural frequency solution surface is for by natural frequency ω described in the i-th rank iwith the relation of described fractional radial position α and described relative depth β, and with described fractional radial position α and described relative depth β for variable, the curved surface fitted to.
6. method according to claim 1, it is characterized in that, in described step S4, the process that contouring method solves is, natural frequency described in every rank is updated in described fault sample storehouse, draws out corresponding frequency contour map, then frequency contour map described in three width is drawn at grade, the fractional radial position of the corresponding crackle of the intersecting point coordinate obtained and relative depth, finally calculate radial position and the degree of depth of crackle.
CN201410469897.2A 2014-09-15 2014-09-15 Determination method of fan blade crack position Pending CN104267097A (en)

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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104792516A (en) * 2015-05-13 2015-07-22 中国科学院工程热物理研究所 Device and method for testing structural fatigue of H-shaped vertical shaft wind turbine blade
CN105783799A (en) * 2016-03-03 2016-07-20 四川升拓检测技术股份有限公司 Ballastless track plate seam depth non-destructive detection method and equipment based on vibration
CN106501369A (en) * 2016-10-11 2017-03-15 北京工业大学 A kind of fan blade crack position determines method
CN107064315A (en) * 2017-03-24 2017-08-18 北京工业大学 Blade cracks position and depth recognition method based on wavelet analysis
CN108956075A (en) * 2018-08-31 2018-12-07 天津大学 Movable vane piece crackle inline diagnosis method
CN113504302A (en) * 2021-06-30 2021-10-15 上海电气风电集团股份有限公司 Method and system for monitoring fan blade state, electronic equipment and storage medium
CN114167026A (en) * 2021-11-23 2022-03-11 哈尔滨工程大学 Experimental device for turbine blade crack quantity online identification
CN114184763A (en) * 2021-11-23 2022-03-15 哈尔滨工程大学 Experimental device and method for online identification of crack positions of turbine blade

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1595146A (en) * 2004-07-08 2005-03-16 西安交通大学 Rotor transversal crack prediction method based on wavelet finite element model
CN1837780A (en) * 2006-04-10 2006-09-27 西安交通大学 A Method for Quantitative Diagnosis of Rotor Transverse Crack Using Interval B-spline Wavelet Element
CN102914594A (en) * 2012-10-30 2013-02-06 西安建筑科技大学 Method for quantitatively diagnosing transverse cracks of pipeline on basis of frequency contour lines
CN103984813A (en) * 2014-05-09 2014-08-13 西安交通大学 Vibration modeling and analyzing method of crack impeller structure of centrifugal compressor

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1595146A (en) * 2004-07-08 2005-03-16 西安交通大学 Rotor transversal crack prediction method based on wavelet finite element model
CN1837780A (en) * 2006-04-10 2006-09-27 西安交通大学 A Method for Quantitative Diagnosis of Rotor Transverse Crack Using Interval B-spline Wavelet Element
CN102914594A (en) * 2012-10-30 2013-02-06 西安建筑科技大学 Method for quantitatively diagnosing transverse cracks of pipeline on basis of frequency contour lines
CN103984813A (en) * 2014-05-09 2014-08-13 西安交通大学 Vibration modeling and analyzing method of crack impeller structure of centrifugal compressor

Non-Patent Citations (7)

* Cited by examiner, † Cited by third party
Title
刘明军等: "基于多表达式编程与频率等高线相结合的结构裂纹检测", 《山东大学学报(理学版)》 *
卢艳辉等: "轴裂纹识别的频率法", 《长春工业大学学报(自然科学版)》 *
李兵等: "基于小波有限元法的悬臂梁裂纹识别的试验研究", 《机械工程学报》 *
王可等: "基于小波有限元技术的单螺杆压缩机螺杆轴的裂纹识别", 《中国工程机械学报》 *
陈雪峰等: "基于区间B样条小波有限元的转子裂纹定量识别", 《机械工程学报》 *
陈雪峰等: "梁类结构多裂纹微弱损伤的小波有限元定量检测方法", 《机械工程学报》 *
高丽宏等: "基于有限元模型的梁结构损伤识别技术研究", 《茂名学院学报》 *

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104792516A (en) * 2015-05-13 2015-07-22 中国科学院工程热物理研究所 Device and method for testing structural fatigue of H-shaped vertical shaft wind turbine blade
CN105783799A (en) * 2016-03-03 2016-07-20 四川升拓检测技术股份有限公司 Ballastless track plate seam depth non-destructive detection method and equipment based on vibration
CN105783799B (en) * 2016-03-03 2018-09-11 四川升拓检测技术股份有限公司 A kind of fragment-free track slab gap depth lossless detection method and equipment based on vibration
CN106501369A (en) * 2016-10-11 2017-03-15 北京工业大学 A kind of fan blade crack position determines method
CN107064315A (en) * 2017-03-24 2017-08-18 北京工业大学 Blade cracks position and depth recognition method based on wavelet analysis
CN107064315B (en) * 2017-03-24 2019-09-27 北京工业大学 Identification Method of Blade Crack Location and Depth Based on Wavelet Analysis
CN108956075A (en) * 2018-08-31 2018-12-07 天津大学 Movable vane piece crackle inline diagnosis method
CN113504302A (en) * 2021-06-30 2021-10-15 上海电气风电集团股份有限公司 Method and system for monitoring fan blade state, electronic equipment and storage medium
CN114167026A (en) * 2021-11-23 2022-03-11 哈尔滨工程大学 Experimental device for turbine blade crack quantity online identification
CN114184763A (en) * 2021-11-23 2022-03-15 哈尔滨工程大学 Experimental device and method for online identification of crack positions of turbine blade

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