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Erschienen in: Energy Systems 1/2015

01.03.2015 | Review

Methodologies in power systems fault detection and diagnosis

verfasst von: Saad Abdul Aleem, Nauman Shahid, Ijaz Haider Naqvi

Erschienen in: Energy Systems | Ausgabe 1/2015

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Abstract

Power systems frequently experience variations in their operation, which are mostly manifested as transmission line faults. Over the past decade, various techniques of fault diagnosis have been developed to ensure reliable and stable operation of power systems. This paper reviews the current literature on advanced application of fault diagnosis in power systems. Application of different fault diagnosis schemes is presented, with emphasis on reliable fault detection and classification of power system faults. The motivation behind applications of emerging process history, or pattern recognition, techniques in power system fault diagnosis has been reviewed. An extensive review of advanced mathematical techniques, in pattern recognition methods, involving wavelet transform, artificial neural networks and support vector machines has been presented. The paper also introduces a novel unsupervised technique of quarter-sphere support vector machine for power system fault detection and classification and reviews its application as future research in the developing area of fault diagnosis.

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Metadaten
Titel
Methodologies in power systems fault detection and diagnosis
verfasst von
Saad Abdul Aleem
Nauman Shahid
Ijaz Haider Naqvi
Publikationsdatum
01.03.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Energy Systems / Ausgabe 1/2015
Print ISSN: 1868-3967
Elektronische ISSN: 1868-3975
DOI
https://doi.org/10.1007/s12667-014-0129-1

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