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高压电器  2014 

基于用最小二乘法改进的EMD与能量熵融合的断路器机械故障诊断方法

, PP. 99-103

Keywords: 高压断路器,振动信号,IMF能量熵,改进的EMD

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Abstract:

笔者针对经验模态分解(EMD)分解结果的准确性对实验结果的影响,利用最小二乘法对EMD进行改进,有效地缓解了EMD固有的端点效应对实验结果的影响。分别对断路器操动机构的正常振动信号和连接臂松动信号进行EMD和小波变换分解,并将能量熵分别应用到改进EMD与小波变换中。通过能量熵值计算分析表明,改进的EMD能量熵值明显大于小波能量熵,因此改进的EMD与能量熵融合法为断路器机械状态识别提供了有益的帮助。

References

[1]  HOIDALEN H K, RUNDE M. Cuntinuous monitoring of circuit breakers using vibration analysis[J]. IEEE Transactions on Power Delivery, 2005, 20(4):2458-2465.
[2]  黄 建, 胡晓光,巩玉楠. 基于经验模态分解的高压断路器机械故障诊断方法[J]. 中国电机工程学报,2011,31(12):108-113. HUANG Jian, HU Xiaoguang, GONG Yunan. Machinery fault diagnosis of high voltage circuit breaker based on empirical mode decomposition[J]. Proceedings of the CSEE. 2011, 31(12):108-113.
[3]  张国钢, 王宏伟. 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. 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.
[4]  MALLAT S.A theory for multiresolution signal decomposition the wavelet representation [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,1989,11(7):674-693.
[5]  LOH C H,WU T C,HUANG N E, et al. Application of the empirical mode decomposition-hilbert spectrum method to identify near-fault ground-motion characteristics and structural responses[J]. Bulletin of the Seismological Society of America, 2001, 91(5): 1399-1357.
[6]  HUANG N E,STEVEN R L. The empirical mode decomposition and hilbert specturm for nonlinear and non-stationary time series analysis[J]. Proc. R. Soc. Lond. A,1988(8):903-996.
[7]  罗奇峰,石春香. Hilbert-Huang 变换理论及其计算中的问题[J]. 同济大学学报(自然科学版),2003,31(6):637-640. LUO Qifeng, SHI Chunxiang. Hilbert-Huang transform and several problems in its calculation method[J]. Journal of Tongji University(Natural Science), 2003,31(6):637-640.
[8]  黄大吉,赵进平,苏纪兰.希尔伯特-黄变换的端点延拓[J]. 海洋学报,2003,25(1):1-11. HUANG Daji, ZHAO Jinping, SU Jilan. Practical implementation of the Hilbert-Huang transform algorithm[J]. Acta Oceanologica Sinica,2003,25(1):1-11.
[9]  邓拥军,王 伟. EMD方法及Hilbert变换中边界问题的处理[J]. 科学通报,2001,46(3):375-363. DENG Yongjun, WANG Wei. The boundary problem processing for EMD method and Hilbert transform[J]. Chinese Science Bulletin,2001,46(3):375-363.
[10]  胡灿阳,陈清军.基于EMD和最小二乘法的基线飘移研究[J]. 振动与冲击,2010, 29(3):162-167. HU Canyang,CHEN Qingjun. Research on baseline drift using least-square and EMD[J]. Journal of Vibration and Shock, 2010, 29(3):162-167.
[11]  邸继征.小波分析原理[M]. 北京:科学出版社,2010. DI Jizheng. The principle of wavelet analysis[M]. Beijing: Science Press,2010.
[12]  张永奎,赵智忠. 基于分合闸线圈电流信号的高压断路器机械故障诊断[J]. 高压电器,2013,49(2):37-42. ZHANG Yongkui, ZHAO Zhizhong. Mechanical fault diagnosis of high voltage circuit breakers based on opening/closing coil current parameters[J]. High Voltage Apparatus, 2013,49(2):37-42.
[13]  陈伟根,邓帮飞,杨 彬. 基于振动信号经验模态分解及能量熵的高压断路器故障识别[J]. 高压电器,2009,45(2):90-93. CHEN Weigen, DENG Bangfei, YANG Bin. Fault recognition for high voltage circuit breaker based on EMD of vibration signal and energy entropy characteristic[J]. High Voltage Apparatus,2009,45(2):90-93.
[14]  张 超, 陈建军, 郭 迅. 基于EMD能量熵和支持向量机的齿轮故障诊断方法[J]. 振动与冲击,2010, 29(10):216-220. ZHANG Chao, CHEN Jianjun, GUO Xun. A gear fault diagnosis method based on EMD energy entropy and SVM[J]. Journal of Vibration and Shock,2010,29(10):216-220.
[15]  高 鹏, 马宏忠. 分接开关振动信号EMD熵和小波熵的比较[J]. 电力系统及其自动化学报,2012,24(4):48-53. GAO Peng,MA Hongzhong.Comparison of EMD entropy and wavelet entropy in vibration signals of OLTC[J]. Proceedings of the CSU-EPSA,2012,24(4):48-53.
[16]  何正友,蔡玉梅,钱清泉.小波熵理论及其在电力系统故障检测中的应用研究[J].中国电机工程学报,2005,25(5):38-43. HE Zhengyou, CAI Yumei, QIAN Qingquan. A study of wavelet entropy theory and its application in electric power system fault detection[J]. Proceedings of the CSEE, 2005,25(5):38-43.
[17]  孙来军,胡晓光,纪延超. 改进的小波包-特征熵在高压断路器故障诊断中的应用[J]. 中国电机工程学报,2007,27(12):103-108. SUN Laijun, HU Xiaoguang, JI Yanchao. Fault diagnosis for high voltage circuit breakers with improved characteristic entropy of wavelet packet[J]. Proceedings of the CSEE,2007,27(12):103-108.
[18]  赵海龙,王 芳,胡晓光.小波包―能量谱在高压断路器机械故障诊断中的应用[J]. 电网技术,2004,28(6):46-48. ZHAO Hailong, WANG Fang, HU Xiaoguang. Application of wavelet packer-energy spectrum in mechanical fault diagnosis of high voltage circuit breakers[J]. Power System Technology, 2004, 28(6): 46-48.
[19]  钟建英,刘 洋. 基于振动信号特征的高压断路器机械故障诊断技术研究[J]. 高压电器,2013,49(9):49-54. ZHONG Jianying, LIU Yang. Mechanical fault diagnosis technology research of high-voltage circuit breaker based on the vibration signal characteristic[J]. High Voltage Apparatus, 2013,49(9):49-54.
[20]  张郁山,梁建文. 应用自回归模型处理EMD方法中的边界问题[J]. 自然科学进展,2003,13(10):1054-1059. ZHANG Yushan, LIANG Jianwen.Disposal of boundary problem in EMD method applying autoregressive model[J]. Progress In Natural Science,2003,13(10):1054-1059.

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