Feature Extraction Method of Transformer Vibration Based on Ensemble Empirical Mode Decomposition Subband

被引:0
|
作者
Zhao, Hongshan [1 ]
Xu, Fanhao [1 ]
Xu, Wenqi [1 ]
Zhang, Wenmin [2 ]
机构
[1] North China Elect Power Univ, Baoding, Hebei, Peoples R China
[2] State Grid Gansu Elect Power Maintenance Co, Lanzhou, Gansu, Peoples R China
来源
2016 IEEE INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON) | 2016年
关键词
Envelope demodulation; ensemble empirical mode decomposition; mutual information; power transformer; vibration signal;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
To extract the abnormal features of transformer in the early stage, the envelope demodulation method based on ensemble empirical mode decomposition (EEMD) and mutual information criterion was proposed. Firstly, the transformer vibration signal is decomposed into several intrinsic mode functions (IMFs) by the EEMD method. Then the singular value decomposition (SVD) is used to estimate the number of vibration source and mutual information criterion is performed to select the IMFs. Finally, extract the vibration features of the transformer through envelope demodulation of the IMFs. The method has good adaptability and can extract the weak vibration signal. And the validity of the method is verified by analyzing the measured transformer vibration signal.
引用
收藏
页数:6
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