Analysis of joint time-frequency analysis on partial discharge signal based on improved EEMD and cohen's class

作者：Yang, Fengyuan^*; Song, Hui; Cheng, Xu; Duan, Dapeng; Tao, Shiyang; Hou, Huijuan

来源：High Voltage Engineering, 2016, 42(7): 2345-2352.

DOI：10.13336/j.1003-6520.hve.20160713041

• Cohen's class
• EEMD
• End effects
• Joint time-frequency analysis
• Narrow band interference
• Time frequency analysis
• Time-frequency analysis methods
• Time-frequency concentrations

The feature extraction and pattern recognition of partial discharge signal are key steps of equipment condition assessment and fault diagnosis. Time-frequency analysis on PD pulse can extract more comprehensive and effective information from waveform. However, the cross interference terms have the influence on the commonly used time-frequency analysis method. Consequently, we put forward a method of joint time-frequency analysis on PD pulse signal based on EEMD and Cohen's class, studied the end effect of EEMD, and proposed an extending technology based on SVR-regression fitting method. Moreover, the exponential attenuation oscillating function added with Gaussian white noise and narrow band interference was used to simulate the high frequency current PD signal of power equipment. The results show that this method can accurately identify the characteristic PD pulse. It can not only guarantee the time-frequency concentration of effective signal, but also inhibit the influence of IMFs'cross interference terms. Finally, we prove the effectiveness and practicality of this method by applying it to analyze the PD signal which is measured in substation.

• 出版日期2016
• 单位上海交通大学