Mechanical Failure Diagnosis Method for High-Voltage Circuit Breakers Based on Vibration Signal Analysis

doi:10.3969/j.issn.1008-0198.2024.05.019

Abstract

Abstract: By analyzing the vibration signals of high voltage circuit breakers（HVCB）, fault types can be identified based on their different vibration characteristics. Using an improved wavelet threshold denoising method for data preprocessing of circuit breaker vibration signals, and extracting the energy proportion of each frequency band through wavelet packet transform, HVCB fault diagnosis is achieved based on the analysis of energy distribution characteristics. Engineering examples show that the method proposed in this paper can effectively achieve mechanical fault diagnosis of HVCB, providing a new technological means for intelligent operation and inspection of high-voltage circuit breakers.

Key words: high-voltage circuit breaker（HVCB）, vibration signal, wavelet transform, energy extraction, intelligent maintenance

CLC Number:

TM561

MA Zhaoxing, LIU Jinxin, LI Ji, WANG Jing, CHEN Hao, JI Haomin, WANG Ruihua. Mechanical Failure Diagnosis Method for High-Voltage Circuit Breakers Based on Vibration Signal Analysis[J]. Hunan Electric Power, 2024, 44(5): 124-130.

References

[1] 陈昊,谭风雷,徐鹏,等.高压断路器在线监测装置不停电安装工法[J].湖南电力,2022,42(6）:64-68.
[2] 赵洋,刘汉宇,曾庆军.基于机械振动信号的高压真空断路器故障诊断研究[J].高压电器,2010,46(2）:46-51.
[3] WU Y B,ZHANG J Z,YUAN Z X,et al.Fault Diagnosis of Medium Voltage Circuit Breakers Based on Vibration Signal Envelope Analysis[J]. Sensors, 2023, 23(19）: 8331.
[4] 陈昊,徐伟伦,沙浩源,等.高压断路器分合闸振动过程突变点的两阶段辨识方法[J].电器与能效管理技术,2023,622(1）:28-33,49.
[5] 陈昊,汤宗尧,沙浩源,等.高压断路器外空间电场强度相别差异特征分析[J].电工电气,2023(6）:39-43.
[6] 崔永俊,郭峰.多通道振动信号采集系统设计[J].仪表技术与传感器,2022(4）:75-79,95.
[7] 曾庆军,林燕侠,赵洋.断路器机械特性在线监测与振动信号特征提取[J].华中科技大学学报(自然科学版）,2009,37(增刊1）:118-121.
[8] 戴月.基于小波神经网络和特征熵的高压断路器故障诊断研究[J].电气应用,2014,33(22）:141-145.
[9] 孙来军,胡晓光,纪延超.一种基于振动信号的高压断路器故障诊断新方法[J].中国电机工程学报,2006,26(6）:157-161.
[10] 杨元威,关永刚,陈士刚,等.基于声音信号的高压断路器机械故障诊断方法[J].中国电机工程学报,2018,38(22）:6730-6736.
[11] 邹宇,章守宇,陆元翠,等.基于振动信号的高压断路器故障诊断[J].机电信息,2022(7）:20-23,36.
[12] 张欣,张静,高旭,等.采用局部时-频奇异值与优化随机森林的高压断路器机械故障诊断[J].高压电器,2020,56(6）:225-231.
[13] 尹柏睿,陈海涛,张晓慧.基于红外神经网络的高压断路器故障诊断方法[J].沈阳工程学院学报(自然科学版）,2019,15(3）:245-250.
[14] WAN S T,DOU L,LI C,et al.Study on on-line detection of characteristic parameters in high voltage circuit breaker open‍ing process based on vibration signal[J].Electric Power Compo‍ne‍nts and Systems, 2018, 46 (18）:1969-1978.
[15] 包伟川,宿浩,李璐,等.基于电流—振动信号联合分析的高压断路器操动机构故障诊断方法[J].高压电器,2023,59(8）:164-172.
[16] 王奕飞,林莘,徐建源,等.高压断路器操动机构驱动电机及其控制技术研究[J].电机与控制学报,2024,28 (1）:95-104.
[17] 吴鹤翔,李兵,李良,等.基于断路器合闸弹簧弹力信号的储能故障诊断方法[J].电工技术,2023(6）:152‍-157.
[18] 范露. 基于振动信号处理的高压断路器机械故障诊断[D].厦门:厦门理工学院,2020.
[19] 涂骥.振动传感器的选择与安装[J].计量与测试技术,2010,37(1）:45-46.
[20] 刘书明,聂丽斌,余爱民.ADS8364的原理及应用[J].国外电子元器件,2002(10）:43-45.
[21] 严勤,李永聪. 基于TMS320F28335的永磁同步电机矢量控制器设计[J].电力大数据,2018,21(6）:63-69.
[22] 朱勇,竺裕峰,林启新,等.基于改进小波阈值函数的典型输电线路故障波形去噪分析[J].电气应用,2023,42(6）:33-40.
[23] 吴艳,张蓉竹.小波阈值降噪算法在光电探测器信号处理中的应用[J].光子学报,2019,48(10）:156-163.
[24] 杨健,张永平. 基于小波包和聚类算法的滚动轴承故障检测研究[J].盐城工学院学报(自然科学版）,2023,36(1）:67-73.
[25] 顾建锋,杨维满,赵春娟,等.基于VMD小波包能量熵的风电机组变流器故障诊断方法[J].机械研究与应用,2023,36(3）:163-167.
[26] YANG L Y,ZHANG K,CHEN Z H,et al.Fault diagnosis of WOA-SVM high voltage circuit breaker based on PCA principal component analysis‍[J].Energy Reports,2023,9: 628-634.
[27] NI H P,WANG W.Research on an online monitoring and diag‍nosis system of high-voltage circuit breaker[J].Applied Me‍chanics and Materials, 2014, 492:212‍-217.