Publication: Feature extraction method and neural network pattern recognition on time-resolved partial discharge signals
Date
2011
Authors
Tho N.T.N.
Chakrabarty C.K.
Siah Y.K.
Ghani A.B.Abd.
Journal Title
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Volume Title
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Abstract
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.
Description
Keywords
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