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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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 |
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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 |
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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 |
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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. |
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54584502600 |
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54584502600 Tho N.T.N. Chakrabarty C.K. Siah Y.K. Ghani A.B.Abd. |
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Conference paper |
author |
Tho N.T.N. Chakrabarty C.K. Siah Y.K. Ghani A.B.Abd. |
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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 |
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2023 |
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1806423384714641408 |
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13.214268 |