Feature extraction method and neural network pattern recognition on time-resolved partial discharge signals

Magnetic sensor is a relatively new method to collect time-resolved partial discharge (PD) signals in XLPE cables. This paper proposes a simple yet effective method to recognize patterns of PD signals obtained from the magnetic sensor. The technique consists of wavelet transformation to de-noise the...

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Main Authors: Tho N.T.N., Chakrabarty C.K., Siah Y.K., Ghani A.B.Abd.
Other Authors: 54584502600
Format: Conference paper
Published: 2023
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spelling my.uniten.dspace-304272023-12-29T15:47:43Z Feature extraction method and neural network pattern recognition on time-resolved partial discharge signals Tho N.T.N. Chakrabarty C.K. Siah Y.K. Ghani A.B.Abd. 54584502600 6701755282 24448864400 24469638000 neural network partial discharge pattern recognition statistical method time-resolved signals wavelet de-noising Backpropagation Feature extraction Magnetic sensors Partial discharges Pattern recognition Pattern recognition systems Statistical methods De-Noise Feature extraction methods Multi layer perceptron Partial discharge signal Time-resolved Wavelet denoising Wavelet transformations XLPE cables Neural networks Magnetic sensor is a relatively new method to collect time-resolved partial discharge (PD) signals in XLPE cables. This paper proposes a simple yet effective method to recognize patterns of PD signals obtained from the magnetic sensor. The technique consists of wavelet transformation to de-noise the signals, statistical analysis to extract features and multi-layer perceptron back propagation (MLP BP) neural network to classify different types of PD signals. The result is elaborated in this paper. � 2011 IEEE. Final 2023-12-29T07:47:43Z 2023-12-29T07:47:43Z 2011 Conference paper 10.1109/ICOS.2011.6079231 2-s2.0-83155163787 https://www.scopus.com/inward/record.uri?eid=2-s2.0-83155163787&doi=10.1109%2fICOS.2011.6079231&partnerID=40&md5=e01ef340f09ca6cd28b985f73635f2bf https://irepository.uniten.edu.my/handle/123456789/30427 6079231 243 246 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic neural network
partial discharge
pattern recognition
statistical method
time-resolved signals
wavelet de-noising
Backpropagation
Feature extraction
Magnetic sensors
Partial discharges
Pattern recognition
Pattern recognition systems
Statistical methods
De-Noise
Feature extraction methods
Multi layer perceptron
Partial discharge signal
Time-resolved
Wavelet denoising
Wavelet transformations
XLPE cables
Neural networks
spellingShingle neural network
partial discharge
pattern recognition
statistical method
time-resolved signals
wavelet de-noising
Backpropagation
Feature extraction
Magnetic sensors
Partial discharges
Pattern recognition
Pattern recognition systems
Statistical methods
De-Noise
Feature extraction methods
Multi layer perceptron
Partial discharge signal
Time-resolved
Wavelet denoising
Wavelet transformations
XLPE cables
Neural networks
Tho N.T.N.
Chakrabarty C.K.
Siah Y.K.
Ghani A.B.Abd.
Feature extraction method and neural network pattern recognition on time-resolved partial discharge signals
description Magnetic sensor is a relatively new method to collect time-resolved partial discharge (PD) signals in XLPE cables. This paper proposes a simple yet effective method to recognize patterns of PD signals obtained from the magnetic sensor. The technique consists of wavelet transformation to de-noise the signals, statistical analysis to extract features and multi-layer perceptron back propagation (MLP BP) neural network to classify different types of PD signals. The result is elaborated in this paper. � 2011 IEEE.
author2 54584502600
author_facet 54584502600
Tho N.T.N.
Chakrabarty C.K.
Siah Y.K.
Ghani A.B.Abd.
format Conference paper
author Tho N.T.N.
Chakrabarty C.K.
Siah Y.K.
Ghani A.B.Abd.
author_sort Tho N.T.N.
title Feature extraction method and neural network pattern recognition on time-resolved partial discharge signals
title_short Feature extraction method and neural network pattern recognition on time-resolved partial discharge signals
title_full Feature extraction method and neural network pattern recognition on time-resolved partial discharge signals
title_fullStr Feature extraction method and neural network pattern recognition on time-resolved partial discharge signals
title_full_unstemmed Feature extraction method and neural network pattern recognition on time-resolved partial discharge signals
title_sort feature extraction method and neural network pattern recognition on time-resolved partial discharge signals
publishDate 2023
_version_ 1806423384714641408
score 13.214268