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基于因子分析和支持向量机算法的高压断路器机械故障诊断方法

, PP. 209-215

Keywords: 高压断路器,振动信号,故障诊断,因子分析,支持向量机

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Abstract:

高压断路器操作过程中的振动信号能够反映断路器的机械状态。以高压断路器机械振动信号中振动事件的起始点作为特征参量,使用因子分析对特征量进行降维优化、支持向量机(SupportVectorMachine,SVM)经粒子群参数寻优(ParticleSwarmOptimization,PSO)后可对断路器的不同状态进行分类。本文对断路器机械故障进行了模拟试验,结果表明,因子分析和支持向量机算法适于诊断高压断路器的机械状态。

References

[1]  关永刚, 黄瑜珑, 钱家骊. 基于振动信号的高压断路器机械故障诊断[J]. 高电压技术, 2000, 26(3): 66-68. Guan Yonggang, Huang Yulong, Qian Jiali. An overview on mechanical failure diagnosis technique for high voltage circuit breaker based on vibration signal[J]. High Voltage Engineer, 2000, 26(3): 66-68.
[2]  常广, 张振乾, 王毅. 高压断路器机械故障振动诊断综述[J]. 高压电器, 2011, 47(8): 85-90. Chang Guang, Zhang Zhenqian, Wang Yi. Review on mechanical fault diagnosis of high-voltage circuit breakers based on vibraiton diagnosis[J]. High Voltage Apparatus, 2011, 47(8): 85-90.
[3]  Stokes A D, Timbs L. Diagnostics of circuit breakers [C]. International Conference on Large High voltage Electric Systems, New York: GIGRE, 1988: 1-7.
[4]  Lee D, Lithgow B J, Morrison R E. New fault diagnosis of circuit breakers[J]. IEEE Transactions on Power Delivery, 2003, 18(2): 454-459.
[5]  张国钢, 王宏伟, 汤翔, 等. 基于EMD方法的高压断路器液压机构振动信号分析[J]. 高压电器, 2008, 44(3): 193-196. Zhang Guogang, Wang Hongwei, Tang Xiang, et al. Vibration signal analysis of hydraulic operating mechanism for high voltage circuit breaker based on EMD method[J]. High Voltage Apparatus, 2008, 44(3): 193-196.
[6]  Runde M, Ottesen G E. Vibration analysis for diagnostic testing of circuit breakers[J]. IEEE Transac- tions on Power Delivery, 1996, 11(4): 1816-1823.
[7]  吴振升, 王玮, 杨学昌, 等. 基于分形理论的高压断路器机械振动信号处理[J]. 高电压技术, 2005, 31(6): 19-21. Wu Zhensheng, Wang Wei, Yang Xuechang, et al. Processing of mechanical vibration signal of high voltage circuit breakers based on fractal theory[J]. High Voltage Engineering, 2005, 31(6): 19-21.
[8]  陈伟根, 范海炉, 王有元, 等. 基于小波能量与神经网络的高压断路器振动信号识别方法[J]. 电力自动化设备, 2008, 28(2): 29-32. Chen Weigen, Fan Hailu, Wang Youyuan, et al. Circuit breaker vibration signal recognition based on wavelet and neural network[J]. Electric Power Automation Equipment, 2008, 28(2): 19-32.
[9]  贾嵘, 洪刚, 薛建辉, 等. 粒子群优化-最小二乘支持向量机算法在高压断路器机械故障诊断中的应用[J]. 电网技术, 2010, 34(3): 197-200. Jia Rong, Hong Gong, Xue Jianhui, et al. Application of particle swarm optimization-least square support vector machine algorithm in mechanical fault diagnosis of high-voltage circuit breaker[J]. Power System Technology, 2010, 34(3): 197-200.
[10]  孙来军, 胡晓光, 纪延超, 等. 基于支持向量机的高压断路器机械状态分类[J]. 电工技术学报, 2006, 21(8): 53-58. Sun Laijun, Hu Xiaoguang, Ji Yanchao, et al. Mechanical fault classification of high voltage circuit breaker based on support vector machine[J]. Transac- tions of China Electrotechnical Society, 2006, 21(8): 53-58.
[11]  高惠璇. 应用多元统计分析[M]. 北京: 北京大学出版社, 2005.
[12]  邓帮飞. 高压断路器机械特性监测及故障模式识别方法研究[D]. 重庆: 重庆大学, 2008.
[13]  Hess D P, Park S Y, Tangri M K. Noninvasive condition assessment and event timing for power circuit breakers[J]. IEEE Transactions on Power Delivery, 1992, 7(1): 353-360.
[14]  白鹏, 张喜斌, 张斌, 等. 支持向量机理论及工程应用实例[M]. 西安: 西安电子科技大学出版社, 2008.
[15]  杨世锡, 胡劲松, 吴昭同, 等. 旋转机械振动信号基于EMD的希尔伯特变换和小波变换时频分析比较[J]. 中国电机工程学报, 2003, 23(6): 102-107. Yang Shixi, Hu Jingsong, Wu Zhaotong, et al. The comparison of vibration signals’ time-frequency analysis between EMD-based HT and WT method in rotating machinery[J]. Proceedings of the CSEE, 2003, 23(6): 102-106.

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