Detection of Failure in Asynchronous Motor Using Soft Computing Method

This paper investigates the stator short winding failure of asynchronous motor also their effects on motor current spectrums. A fuzzy logic approach i.e., model based technique possibly will help to detect the asynchronous motor failure. Actually, fuzzy logic similar to humanoid intelligent methods...

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Veröffentlicht in:Journal of physics. Conference series 2018-04, Vol.1000 (1), p.12161
Hauptverfasser: Vinoth Kumar, K., Sony, Kevin, John, Alan Achenkunju, Kuriakose, Anto, John, Ano P
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Sprache:eng
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Zusammenfassung:This paper investigates the stator short winding failure of asynchronous motor also their effects on motor current spectrums. A fuzzy logic approach i.e., model based technique possibly will help to detect the asynchronous motor failure. Actually, fuzzy logic similar to humanoid intelligent methods besides expected linguistic empowering inferences through vague statistics. The dynamic model is technologically advanced for asynchronous motor by means of fuzzy logic classifier towards investigate the stator inter turn failure in addition open phase failure. A hardware implementation was carried out with LabVIEW for the online-monitoring of faults.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1000/1/012161