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Diagnosis of Stator Fault by Inter-Turn Short Circuit for Three-Phase Induction Motor

  • Goh Young-Jin
  • Kim Kyoung-MinEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 797)

Abstract

The occurrence of a short circuit and disconnection of the stator cause a vast loss to the whole system. Also, various vibration sensors, noise sensors, etc., are used for fault diagnosis, but there is a difficulty in the application of these methods because the structure and circuits of the system must be redesigned, and there is a high level of dependence on diagnosis by long experience. For such reasons, studies on MESA are being performed, sensorless methods. Among MESA methods, the MCSA method has been used for fault diagnosis of the stator of an induction motor and its effectiveness was proven. Since the efficiency of a three-phase induction motor is not high, there is a difficulty in detecting the inter-turn short circuit of a stator. Therefore, this study suggested a tool that can diagnose 2-turn short circuit, inter-turn short circuit, through the relationship between self-inductance and mutual inductance in the synchronous reference frame of a D-Q transformation—the relationship according to turn-to-turn short.

Keywords

Three-phase induction motor Stator fault Inter-turn short circuit D-Q transformation Synchronous reference frame 

Notes

Acknowledgements

This study was supported by the Ministry of Trade, Industry and Energy(MOTIE) through the Regional Innovation Centre Program.

References

  1. 1.
    I. C. Report (1985) Report of large motor reliability survey of industrial and commercial installation, Part I. IEEE Trans Ind Appl IA-21(4):853–872.  https://doi.org/10.1109/tia.1985.349532
  2. 2.
    Albrecht PF, Appiarius JC, Sharma DK (1986) Assessment of the reliability of motors in utility applications-Updated. IEEE Trans Energy Conversion, EC-1(1):39–46  https://doi.org/10.1109/tec.1986.4765668CrossRefGoogle Scholar
  3. 3.
    Arkan M, Perovic DK, Unsworth P (2001) Online stator fault diagnosis in induction motors. IEE Proc. Electr. Power Appl. 148(6):537–547.  https://doi.org/10.1049/ip-epa:20010588CrossRefGoogle Scholar
  4. 4.
    Go YJ, Song MH, Kim JY, Lee B, Choi WR, Kim KM (2016) A new algorithm of online stator faults diagnosis of three-phase induction motors using duty ratios half-period frequencies according to phase angle changes. In: MATEC web conference 2016 The 3rd international conference on manufacturing and industrial technologies, MATEC web conference, vol 70, pp 1–6. EDP Sciences, Morocco (2016).  https://doi.org/10.1051/matecconf/20167009002CrossRefGoogle Scholar
  5. 5.
    Go YJ, Song MH, Kim JY, Choi WR, Lee B, Kim KM (2017) A new algorithm for analyzing method of electrical faults of three-phase induction motors using duty ratios half-period frequencies according to phase angle changes. LNME Springer, Switzerland.  https://doi.org/10.1007/978-3-319-33581-0_23Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Suncheon Jeil CollegeSuncheonRepublic of Korea
  2. 2.Chonnam National UniversityYeosuRepublic of Korea

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