NDLI: Monitoring and identification of metal–oxide surge arrester conditions using multi-layer support vector machine

Content Provider	IET Digital Library
Author	Khodsuz, Masume Mirzaie, Mohammad
Abstract	Metal–oxide surge arresters (MOSAs) are essential equipments for power system protection and devices from lightning and switching transient overvoltages. Therefore, their operating condition and diagnosis are very important. In this study, a multi-layer support vector machine (SVM) classifier has been used for MOSA conditions monitoring based on experimental tests. Three features are extracted based on the test results for determining surge arresters operating conditions including clean virgin, ultraviolet (UV) aged clean surface, surface contaminations after and before UV housing ageing, and degraded varistors along active column. Then, the multi-layer SVM classifier is trained with the training samples, which are extracted by the above data processing. Finally, the five fault types of surge arresters are identified by this classifier. The test results show that the classifier has an excellent performance on training speed and reliability which confirm the high applicability of introduced features for correct diagnostic of surge arresters conditions.
Starting Page	2501
Ending Page	2508
Page Count	8
ISSN	17518687
Volume Number	9
e-ISSN	17518695
Issue Number	Issue 16, Dec (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/9/16
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2015.0640
Journal	IET Generation, Transmission & Distribution
Publisher Date	2015-12-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Arresters Condition Monitoring Fault Diagnosis Fault Type Identification Knowledge Engineering Technique Lightning Overvoltage Lightning Protection Metal Oxide Surge Arrester MOSA Condition Monitoring Multilayer Support Vector Machine Multilayer SVM Classifier Operating Condition Overvoltage Protection Pattern Classification Power Engineering Computing Power System Device Power System Protection Protection Apparatus Reliability Resistor Support Vector Machine Surface Contamination Switching Transient Overvoltage Switching Transients Ultraviolet Aged Clean Surface UV Housing Ageing Varistors
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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