Joint time-frequency analysis for partial discharge (PD) signal extraction

2018 ◽  
Author(s):  
Hui Ma ◽  
Junhyuck Seo ◽  
Tapan Saha ◽  
Jeffery Chan
Keyword(s):  
Frequency Analysis ◽  
Partial Discharge ◽  
Signal Extraction ◽  
Time Frequency Analysis ◽  
Time Frequency

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

Analysis on Signal Extraction under Sudden Changing Noise Interference Based on Time Frequency Analysis

2014 ◽  
Vol 989-994 ◽  
pp. 3810-3813
Author(s):  
Shao Hua Nie
Keyword(s):  
Frequency Analysis ◽  
Signal Extraction ◽  
Transformation Theory ◽  
Time Frequency Analysis ◽  
Noise Interference ◽  
Time Frequency ◽  
Network Intrusion ◽  
Simulation And Experiment ◽  
Non Stationary Signal ◽  
Changing Noise

The illegal signal such as the intrusion signal which wanted to be embedded in the normal signal was analyzed for the extraction, and made the network environment be safe and pure, so the signal detection problem was shown as the key and important problem in the assurance of the safety of the network. The signal processing principle for the non stationary signal was analyzed firstly, and the new signal extraction method based on the Wigner Ville distribution and Hough transformation theory of the time frequency analysis. The original signal was filtered and detected, the spectrum analysis was got as the same time for the testing the detection property in the simulation. Simulation and experiment was implemented on the objects of the network intrusion signal with the real collection in the database. Simulation result shows that the performance of decreasing the noise and filtering is very good. The intrusion signal can be detected and extracted perfectly, and also it shows good value in the analysis of the network safety in practice.

Reassigned Time Frequency Analysis for PD Signals in GIS

2013 ◽  
Vol 448-453 ◽  
pp. 1959-1962
Author(s):  
Hui Wang ◽  
Xiu Wei Li ◽  
Yu Xin Yun ◽  
Hai Yan Yuan
Keyword(s):  
Frequency Domain ◽  
Frequency Analysis ◽  
Partial Discharge ◽  
Time Varying ◽  
Analysis Method ◽  
Time Frequency Analysis ◽  
Time Frequency ◽  
The Cross ◽  
Non Stationary Signal

Partial discharge signal in GIS is a kind of typical non-stationary signal, using the time or frequency domain simply is not enough to describe the time-varying information of PD. Based on the reason above, this paper introduces a joint time-frequency analysis method according to the reassignment theory for analyzing the PD of GIS. After the processing of the PD signals simulated and on field, we conclude that this method provides a higher concentration in the time-frequency plane and reduces the most influence of the cross-interference terms.

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