Fault Diagnosis in Induction Machines for Internal Fault Identification Scheme
K.Vinoth Kumar1, S.Suresh Kumar2, Ashish Sam Geo3, Jomon Yohannan4, Toji Thomas5, Sreekanth P.G6
1Mr. K.Vinoth Kumar, Assistant Professor, Department of Electrical and Electronics Engineering, Karunya University, Coimbatore (Tamil Nadu), India.
2Dr. S.Suresh Kumar, Professor Director, Department of Electronics and Communication Engineering, Dr. NGP. Institute of Technology, Coimbatore (Tamil Nadu), India.
3Ashish Sam Geo, Department of Electronics and Communication Engineering, Karunya University, Coimbatore (Tamil Nadu), India.
4Jomon Yohannan, Department of Electronics and Communication Engineering, Karunya University, Coimbatore (Tamil Nadu), India.
5Toji Thomas, Department of Electronics and Communication Engineering, Karunya University, Coimbatore (Tamil Nadu), India.
6Sreekanth P.G, Department of Electronics and Communication Engineering, Karunya University, Coimbatore (Tamil Nadu), India.
Manuscript received on 18 April 2012 | Revised Manuscript received on 25 April 2012 | Manuscript published on 30 April 2012 | PP: 34-37 | Volume-1 Issue-1, April 2012 | Retrieval Number: A0129021112/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, a mathematical model of the three-phase induction motor drives in abc reference frame is described. A computer simulation of the motor drive is provided which utilized Lab VIEW software. This simulation can be conveniently used to study the level of the ‘Fault Tolerant System’ parameters like current, voltage, torque, speed and also simulate the three phase Induction Motor for diagnosis of the short circuit and normal case using Laboratory virtual Instrumentation Engineering Workbench (LabVIEW).
Keywords: Three Phase Induction Motor, Fault Diagnosis System.
Scope of the Article: Machine Learning