Articles liés à Partial Discharge Recognition Using Artificial Neural...

Partial Discharge Recognition Using Artificial Neural Network - Couverture souple

Isa, Muzamir; Rohani, Mohamad Nur Khairul Hafizi; Abu Bakar, Faizah

 
9786202678742: Partial Discharge Recognition Using Artificial Neural Network
Couverture souple
ISBN 10 : 6202678747 ISBN 13 : 9786202678742
Editeur : LAP LAMBERT Academic Publishing, 2020

Synopsis

Partial discharge (PD) seriously affects the reliability of the distribution system due to electrical stress and the duration of the installation. Recent technology advance brings the analysis of the PD act as the guideline and maintenance strategy can be carried out when a parameter exceeding the predefined level. This book presents an artificial neural network (ANN) modelling in detecting the PD signal. PD signals are generated from experimental laboratory and simulation by using electromagnetic transient program-alternative transient program (EMTP-ATP). There are two analyses are carried out; classification and de-noising of PD signal. The first analysis used the straight forward procedure in PD signal classification. Second analysis presents the de-noising of PD signal using three different techniques; ANN, fast Fourier transforms (FFT) and discrete wavelet transform (DWT). The de-noising algorithm is implemented to discover a clean PD signal from disrupted signal. The performance of the de-nosing techniques was evaluated by comparing the signal to noise ratio (SNR). The result of this analysis shows ANN is the best de-noising technique compare to others.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2020
Langue
anglais
ISBN 10 
6202678747
ISBN 13 
9786202678742
Reliure
Broché
Nombre de pages
80
Coordonnées du fabricant
non disponible
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