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Partial Discharge Recognition Using Artificial Neural Network - Softcover

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

 
9786202678742: Partial Discharge Recognition Using Artificial Neural Network
Softcover
ISBN 10: 6202678747 ISBN 13: 9786202678742
Verlag: LAP LAMBERT Academic Publishing, 2020

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Muzamir Isa was born in Malaysia in 1979. He received Doctoral (Ph.D) degree from Aalto University, Helsinki, Finland. His research interests are partial discharge measurement, detection and location technique, and power system transient studies including EMTP-ATP simulation.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2020
Sprache
Englisch
ISBN 10 
6202678747
ISBN 13 
9786202678742
Einband
Taschenbuch
Anzahl der Seiten
80
Kontakt zum Hersteller
Nicht verfügbar
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