LabVIEW based Condition Monitoring of Induction Machines

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K.Vinoth Kumar 1,* S.Suresh Kumar 2

1. Department of Electrical and Electronics Engineering, School of Electrical Sciences, Karunya University, Coimbatore, India

2. Department of Electronics and Communication Engineering, Dr.NGP Institute of Technology, Coimbatore, India

* Corresponding author.


Received: 6 Jun. 2011 / Revised: 13 Oct. 2011 / Accepted: 17 Dec. 2011 / Published: 8 Apr. 2012

Index Terms

Fault detection, motor current signature analysis (MCSA), squirrel-cage induction motor


This paper focuses on experimental results to prove that motor current signature analysis (MCSA) can diagnose shorted turns in low voltage stator windings of 3-phase induction motors using LabVIEW. The diagnostic strategy is presented and variables that influence the diagnosis are discussed. Current spectra from motors with short-circuited turns (with and without short circuit current limiting resistors) are presented and fully analyzed. Results from motors tested to failure are reported. The results in this paper were from industrial motors of different pole numbers with concentric and lap wound winding designs. Since stator failures account for a high percentage of failures the results are particularly relevant to industry.

Cite This Paper

K.Vinoth Kumar, S.Suresh Kumar, "LabVIEW based Condition Monitoring of Induction Machines", International Journal of Intelligent Systems and Applications(IJISA), vol.4, no.3, pp.56-62, 2012. DOI:10.5815/ijisa.2012.03.08


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