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Bayesian neural network and discrete wavelet transform for partial discharge pattern classification in high voltage equipment

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3 Author(s)
Hui Ma ; Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD, Australia ; Jeffery C. Chan ; Tapan K. Saha

Partial discharge (PD) pattern recognition has been applied for identifying the types of insulation defects in high voltage (HV) equipment. This paper proposes a novel Bayesian neural network (BNN) and discrete wavelet transform (DWT) hybrid algorithm for PD pattern recognition. Laboratory experiments on a number of PD models have been conducted for evaluating the performance of the proposed algorithm.

Published in:

2013 IEEE Power & Energy Society General Meeting

Date of Conference:

21-25 July 2013