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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Main Authors: | , , |
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Format: | Article |
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Elsevier Ltd
2014
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Online Access: | http://umpir.ump.edu.my/id/eprint/6342/ http://dx.doi.org/10.1016/j.measurement.2014.07.010 |
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