Stator Interturn Short Circuit Fault Diagnosis using Fuzzy Logic |
Author(s): |
| Adapa Saikiran S , MET BKC IOE NASIK; Mayur Parmale C, MET BKC IOE NASIK |
Keywords: |
| Induction Motor Faults, Fuzzy Logic |
Abstract |
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Induction motors are widely used in process, mining, manufacturing industries and in almost every other field dealing with electrical power. These motors are simple, efficient, highly robust and rugged thus offering a very high degree of reliability. But like any other machine, these are also vulnerable to faults, which if left unmonitored, might lead to cascading failure of the machine in the long run. On-line condition monitoring of the induction motors has been widely used in the detection of faults. This paper presents a detailed analysis to detect induction motor faults using fuzzy logic. A fuzzy logic approach may help to diagnose induction motor stator faults. In fact, fuzzy logic is equivalent of human thinking processes and natural language enabling decisions to be made based on information. |
Other Details |
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Paper ID: IJSRDV5I90559 Published in: Volume : 5, Issue : 9 Publication Date: 01/12/2017 Page(s): 808-811 |
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