Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
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A Method for Indentifying Broken Rotor Bar and Stator Winding Fault in a Low-voltage Squirrel-cage Induction Motor Using Radial Flux Sensor

  • Youn, Young-Woo (Industry Applications Research Division, Korea Electrotechnology Research Institute (KERI)) ;
  • Hwang, Don-Ha (Industry Applications Research Division, Korea Electrotechnology Research Institute (KERI)) ;
  • Sun, Jong-Ho (Industry Applications Research Division, Korea Electrotechnology Research Institute (KERI)) ;
  • Kang, Dong-Sik (Industry Applications Research Division, Korea Electrotechnology Research Institute (KERI))
  • Received : 2010.10.21
  • Accepted : 2011.07.15
  • Published : 2011.09.01
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Abstract

In this paper, a method for detecting broken rotor bar and stator winding fault in a low voltage squirrel-case induction motor using an air-gap flux variation analysis is proposed to develop a simple and low cost diagnosis technique. To measure the leakage flux in radial direction, a radial flux sensor is designed as a search coil and installed between stator slots. The proposed method is able to identify two kinds of motor faults by calculating load condition of motors and monitoring abnormal signals those are related with motor faults. Experimental results obtained on 7.5kW three-phase squirrel-cage induction motors are discussed to verify the performance of the proposed method.

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References

  1. M. R. W. Group, "Report of large motor reliability survey of industrial and commercial installation, PartII," IEEE Trans. Ind. Appl., vol.IA-21, no.4, pp.865-872, July./Aug. 1985. https://doi.org/10.1109/TIA.1985.349533
  2. DW. T. Thomas and M. Fenger, "Current Signatur Analysis to detect induction motor faults," IEEE Ind. Appl. Mag., vol.7, no.4, pp.26-34, July./Aug. 2001. https://doi.org/10.1109/2943.930988
  3. Sergio M. A. Cruz and A. J. Marques Cardoso, "Stator winding fault diagnosis in three-phase synchronous and asynchronous motors, by the extended park's vector approach," IEEE Trans. Ind. Appl., vol.37, no.5, pp.1227-1233, Sep./Oct. 2001. https://doi.org/10.1109/28.952496
  4. M. J. Devaney and Levent Eren, "Detecting Motor Bearing Faults," IEEE Instrumentation and Measurement Mag., vol.7, no.4, pp.30-50, Dec. 2004. https://doi.org/10.1109/MIM.2004.1383462
  5. Irahis Rodriguez, Roberto Alves, and Victor Guzman, "Analysis of air gap flux to detect induction motor faults," in Proceedings of Power Engineering Conference, pp.690-694, Sept. 2006.
  6. Melero M.G, Capolino G.A, Fernandez H, and Solares J, "The ability of on-line test to detect interturn short-circuits in squirrel case," in Proceedings of ICEM, pp.771-775, 2000.
  7. Gimenex R.G, Asher G.M, Sumner M, and Bradley K.J, "Performance of FFT-rotor slot harmonic speed detector for sensorless induction motor drives," in Proceedings of Electric Power Applications, vol.143, no.3, pp.258-268, May. 1996. https://doi.org/10.1049/ip-epa:19960241

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