Selection of The Optimal Wavelet Bases for Wavelet De-noising of Partial Discharge Signal
Based on analyzing the influence of wavelet bases selection on the quality of wavelet de-noising, this paper presents a novel method for selecting the best wavelet bases for signal de-noising in partial discharge signal (PDS) processing. The correlation coefficient as well as the signal-to-noise ratio is used for evaluating the optimal wavelet base at present. These two indexes, statistics of meaning, can not reveal the performance of wavelet de-noising comprehensively. In this paper, the concept of information loss assessing coefficient is proposed on the foundation of some contents of wavelet threshold de-noising for the first time, and it is more suited to further analyzing the quality of partial discharge signal. The method is applied during the numerical simulating signals and corona discharge acquisition. From the results it shows that the de-noising procedure can be further refined in selecting the optimal wavelet bases.
optima wavelet transforms the best wavelet bases wavelet de-noising partial discharges
Du ZhaoHeng Liu ShangHe Wang Lei
Electrostatic and Electromagnetic Protection Research Institute, Mechanical Engineering College, Shijiazhuang 050003, China
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
2081-2085
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）