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Partial discharge pattern recognition of transformer based on electric signal and ultrasonic comprehensive analysis

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3 Author(s)
Shutao Zhao ; State Key Laboratory of Alternate Electrical Power, System with Renewable Energy Sources North China Electric Power University, Baoding, China ; Baoshu Li ; Yong Wang

According to the characteristics and disadvantages of PD electrical analysis method, an electro-acoustic and ultrasound combination partial discharge (PD) pattern recognition method is proposed. Firstly, the transformer PD test system's wiring diagram is given, and anti-jamming measures are described. Secondly, Electrical pulse signals time-domain and ultrasound signal statistical features have been extracted to build feature vectors, and then the features is input to BP neural network, the typical PD pattern recognition has been derived. Lastly, the partial discharge analysis system software is developed, and experiments show that the analysis method is effective and software process is correct.

Published in:

Systems and Informatics (ICSAI), 2012 International Conference on

Date of Conference:

19-20 May 2012