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

Ma, Hui, Chan, Jeffery C. and Saha, Tapan K. (2013). Bayesian neural network and discrete wavelet transform for partial discharge pattern classification in high voltage equipment. In: 2013 IEEE Power and Energy Society General Meeting (PES): Proceedings. PES-GM 2013: IEEE Power and Energy Society General Meeting, Vancouver, BC, Canada, (1-5). 21-25 July, 2013. doi:10.1109/PESMG.2013.6672075

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Author Ma, Hui
Chan, Jeffery C.
Saha, Tapan K.
Title of paper Bayesian neural network and discrete wavelet transform for partial discharge pattern classification in high voltage equipment
Conference name PES-GM 2013: IEEE Power and Energy Society General Meeting
Conference location Vancouver, BC, Canada
Conference dates 21-25 July, 2013
Proceedings title 2013 IEEE Power and Energy Society General Meeting (PES): Proceedings   Check publisher's open access policy
Journal name IEEE Power & Energy Magazine   Check publisher's open access policy
Place of Publication Red Hook, NY, USA
Publisher Institute of Electrical and Electronics Engineers
Publication Year 2013
Sub-type Fully published paper
DOI 10.1109/PESMG.2013.6672075
Open Access Status File (Author Post-print)
ISBN 9781479913039
ISSN 1944-9925
1944-9933
Volume 2013
Start page 1
End page 5
Total pages 5
Collection year 2014
Language eng
Formatted Abstract/Summary
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.
Keyword Bayesian neural network (BNN)
Discrete wavelet transform (DWT)
Partial discharge (PD)
Pattern recognition
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Wed, 05 Mar 2014, 20:18:54 EST by Dr Hui Ma on behalf of School of Information Technol and Elec Engineering