Title :
Bayesian neural network and discrete wavelet transform for partial discharge pattern classification in high voltage equipment
Author :
Hui Ma ; Chan, Jeffery C. ; Saha, Tapan K.
Author_Institution :
Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD, Australia
Abstract :
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.
Keywords :
belief networks; discrete wavelet transforms; electrical engineering computing; insulation; neural nets; partial discharge measurement; pattern classification; power apparatus; BNN; Bayesian neural network; DWT hybrid algorithm; HV; PD pattern recognition; discrete wavelet transform; high voltage equipment; insulation defects; partial discharge pattern classification; Bayes methods; Discharges (electric); Discrete wavelet transforms; Feature extraction; Partial discharges; Pattern recognition; Probability distribution; Bayesian neural network (BNN); Partial Discharge (PD); discrete wavelet transform (DWT); pattern recognition;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6672075
