Periodic Narrow-Band Noise Denoising of Partial Discharge Signal Through Time-Frequency Analysis

2020 ◽  
Author(s):  
Xu Yang ◽  
Yuru Cai ◽  
Jing Zhang ◽  
Lin Cheng ◽  
Fenghua Wang
Keyword(s):  
Frequency Analysis ◽  
Narrow Band ◽  
Partial Discharge ◽  
Time Frequency Analysis ◽  
Time Frequency ◽  
Narrow Band Noise ◽  
Band Noise

Time-Frequency Analysis of Partial Discharge Phenomena in SF6 gas using Wavelet Transform

1997 ◽  
Vol 117 (3) ◽  
pp. 338-345 ◽  
Author(s):  
Masatake Kawada ◽  
Masakazu Wada ◽  
Zen-Ichiro Kawasaki ◽  
Kenji Matsu-ura ◽  
Makoto Kawasaki
Keyword(s):  
Wavelet Transform ◽  
Frequency Analysis ◽  
Partial Discharge ◽  
Time Frequency Analysis ◽  
Time Frequency

Improved Hilbert-Huang Transform and its Application in Seismic Data Spectrum Decomposition

2012 ◽  
Vol 152-154 ◽  
pp. 920-923
Author(s):  
Ping Ping Bing ◽  
Si Yuan Cao ◽  
Jiao Tong Lu
Keyword(s):  
Wavelet Transform ◽  
Frequency Analysis ◽  
Seismic Data ◽  
Narrow Band ◽  
Numerical Study ◽  
Wavelet Packet ◽  
Time Frequency Analysis ◽  
Hilbert Huang Transform ◽  
Time Frequency ◽  
Spectrum Decomposition

In the conventional seismic data time-frequency analysis, the wavelet transform, wigner ville distribution and so on, cannot meet the high precision time-frequency analysis requirements because of uncertainty principle and cross-term interference. The recently popular Hilbert-Huang transform (HHT) although overcomes these conventional methods’ deficiencies; it still has some unsolved deficiencies due to the theory imperfect. This paper focuses on an improved HHT so as to ameliorate the defect of original HHT. First of all, the wavelet packet transform (WPT) as the preprocessing will be used to the inspected signal, to get some narrow band signals. Then use the empirical mode decomposition (EMD) on the narrow band signals and get the real intrinsic mode function (IMF) by the method of correlation coefficient. From the numerical study and comparison of improved HHT, wavelet transform and HHT, it proves the validity and advantages of this improved method. At last, the improved HHT is applied to marine seismic data by the spectrum decomposition technology, and it well reveals the low frequency shadow phenomenon of the reservoir. The results show that this new method has effectiveness and feasibility in seismic data spectrum decomposition.

Suppressing PD’s Narrow Band Noise in the PD Monitoring Frequency Band Using Complex Wavelet Packet Transform

2014 ◽  
Vol 521 ◽  
pp. 352-357
Author(s):  
Li Gao ◽  
Tao Zhao ◽  
Yun Peng Liu
Keyword(s):  
Frequency Band ◽  
Narrow Band ◽  
Wavelet Packet ◽  
Partial Discharge ◽  
Phase Spectrum ◽  
Specific Method ◽  
Narrow Band Noise ◽  
Complex Wavelets ◽  
Monitoring Frequency ◽  
Band Noise

By combining the method of construct wavelet packet and complex wavelets, complex wavelets packet is constructed with the same amplitude-frequency characteristics of corresponding real wavelet packet and the same phase spectrum of corresponding complex wavelets, and then give the specific method of constructing complex wavelets packet, evaluate the effect of original PD simulative signals direct reconstruction after decomposition by using Normalized Correlation Coefficient (NCC) and Variational Trend Parameter (VTP) also and the relative error of the amplitude, verify the capability of restore Non-stationary Oscillating Partial Discharge Signals effectively and the correctness of the complex wavelets packets construction. At last, complex wavelets packet is used to denoise PD admixture simulative and measured signals with different frequency and strength noises, overcome the difficults of more loss using hardware filter and bad effect using wavelets packet transformation when narrow band noise in the monitoring frequency band.

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