Journal
ELECTRIC POWER SYSTEMS RESEARCH
Volume 140, Issue -, Pages 263-273Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2016.06.016
Keywords
Induction motor; Insulation resistance; Artificial neural networks; Clustering data
Categories
Funding
- Graduate Program in Electrical Engineering (PPGEE-UFMG)
- CAPES
- FAPEMIG
- CNPQ
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This paper presents a study for the evaluation of the electrical insulation of the stator of three-phase induction motors (IM) and the classification of the failure mechanism using an approach based on computational intelligence tools (CIT). A brief review showing the main parameters for the evaluation of insulation condition and testing of IMs is presented, as well as the promising use of CITs for fault diagnosis of industrial equipment, including motors. This paper proposes a new methodology for evaluation and classification of insulation conditions with the aid of K-means clustering and of a classifier based on ANNs (artificial neural networks). (C) 2016 Elsevier B.V. All rights reserved.
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