Feature Extraction and Classification for Detecting the Thermal Faults in Electrical Installations

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Feature Extraction and Classification for Detecting the Thermal Faults in Electrical Installations

This paper proposed an effort to investigate the suitability of input features and classifier for identifying thermal faults within electrical installations. The features are extracted from the thermal images of electrical equipment and classified using a multilayered perceptron (MLP) artificial neu...

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Bibliographic Details
Main Authors:	M. S., Jadin, Kamarul Hawari, Ghazali, Soib, Taib
Format:	Article
Published:	Elsevier Ltd 2014
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/6342/

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