Recent Techniques to Identify the Stator Fault Diagnosis in Three Phase Induction Motor

K. Vinoth Kumar, S. Suresh Kumar, A. Immanuel Selvakumar and R. Saravana Kumar
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K. Vinoth Kumar: School of Electrical Sciences, Karunya Institute of Technology and Sciences, Coimbatore, India
S. Suresh Kumar: Department of Electronics and Communication Engineering, Dr. NGP Institute of Technology, Coimbatore, India
A. Immanuel Selvakumar: School of Electrical Sciences, Karunya Institute of Technology and Sciences, Coimbatore, India
R. Saravana Kumar: School of Electrical Engineering, Vellore Institute of Technology University, Vellore, India

International Journal of Energy Optimization and Engineering (IJEOE), 2012, vol. 1, issue 4, 106-120

Abstract: Induction motors have gained its popularity as a suitable industrial workhorse, due to its ruggedness and reliability. With time, these workhorses are susceptible to faults, some are incipient and some are major. Such fault can be catastrophic, if unattended and may develop serious problems that may lead to shutdown to the machine causing production and financial losses. To avoid such breakdown, an early stage prognosis can help in preparing the maintenance schedule, which will lead to an improve life span. Scientist and engineers worked with different scheme to diagnose the machine faults. The authors diagnose the turn-to-turn faults condition of the stator through symmetrical component analysis. The results of the analysis are also verified through Power Decomposition Technique (PDT) in Matlab /SIMULINK. The results are compatible with the published results for known faults.

Date: 2012
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