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2010 | 6 | nr 3 | 123--130
Tytuł artykułu

Determination of defect in rotor of induction machine by spectral analysis of stator phase current

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Języki publikacji
Induction motors are important part of safe and efficient running of any industrial plant. These motors are often used in industrial applications thanks to their usability and their robustness. Faults and failures of induction machine can lead to excessive downtimes processes; generate large losses in revenues and long term maintenance. Early detection of motor abnormalities would help avoiding costly breakdowns. In this paper a diagnostic technique of induction motor broken rotor bars is presented. The applied method is the so-called Motor Current Signature Analysis (MCSA) which utilized the results of spectral analysis of the stator current. The broken rotor bars and rings will cause twice slip frequency side bands around the supplying frequency. The fault detection method consists in monitoring of stator phase current spectrum. Twice slip frequency side bands around the main frequency detected by spectral analysis is an indicator of the broken bars. The experimental results show the efficiency of the method.(original abstract)
Opis fizyczny
  • Polytechnic University of Tirana
  • Polytechnic University of Tirana
  • Polytechnic University of Tirana
  • EPRI, 1982. "Improved Motors for Utility Applications", Publication EL-2678, Vol. 1, 1763-1
  • Maliti, K.C., 2000."Modeling and Analysis of Magnetic Noise in Squirrel-Cage Induction Motors", Doctoral Dissertation, Royal Institute of Technology, Stockholm 
  • Sprooten, J., 2007. "Finite Element and Electrical Circuit Modelling of Faulty Induction Machines - Study of Internal Effects and Fault Detection Techniques", Doctoral Dissertation, Universite Libre de Bruxelles 
  • Sribovornmonkol, Th., 2006. "Evaluation of Motor on Line Diagnosis by FEM Simulations", Royal Institute of Technology Stockholm
  • Tavner, P.J., Penman, J., 2008. "Condition monitoring of Electrical Machine", Willey & Sons, New York
  • Thorsen, O. V., Dalva, M., 1999. "Failure identification and analysis for high voltage induction molars in the petrochemical industry", IEEE Transactions on Industry Applications"
  • Vas, P., 1993 "Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines", Oxford University Press
  • Xhoxhi, N., Luga, Y., 1989. Makinat elektrike 2, SHBLU
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