Journal of the Korean Institute of Illuminating and Electrical Installation Engineers (조명전기설비학회논문지)

The Korean Institute of IIIuminating and Electrical Installation Engineers (한국조명전기설비학회)
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Induction Motor Bearing Damage Detection Using Stator Current Monitoring

고정자전류 모니터링에 의한 유도전동기 베어링고장 검출에 관한 연구

  • 윤충섭 (한밭대학교 신소재공학부) ;
  • 홍원표 (한밭대학교 건축설비공학과)
  • Published : 2005.09.30
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Abstract

This paper addresses the application of motor current spectral analysis for the detection of rolling-element bearing damage in induction machines. We set the experimental test bed. They is composed of the normal condition bearing system, the abnormal rolling-element bearing system of 2 type induction motors with shaft deflection system by external force and a hole drilled through the outer race of the shaft end bearing of the four pole test motor. We have developed the embedded distributed fault tolerant and fault diagnosis system for industrial motor. These mechanisms are based on two 32-bit DSPs and each TMS320F2407 DSP module is checking stator current The effects on the stator current spectrum are described and related frequencies are also determined. This is an important result in the formulation of a fault detection scheme that monitors the stator currents. We utilized the FFT(Fast Fourier Transform), Wavelet analysis and averaging signal pattern by inner product tool to analyze stator current components. Especially, the analyzed results by inner product clearly illustrate that the stator signature analysis can be used to identify the presence of a bearing fault.

이 논문은 다른 종류의 유도전동기 구름베어링 손상을 유도전동기 고정자 전류신호해석을 통하여 검출하고 실시간으로 손상을 진단하는 알고리즘을 개발하였다. 유도전동기 구름베어링의 손상을 검출하기 위하여 정상적인 베어링을 갖는 유도전동기, 측정열에 불량을 가지고 있는 전동기와 베어링 외륜에 구멍을 가지고 있는 2가지 종류의 비정상 베어링을 갖는 유도전동기 3set를 실험시스템을 구축하였다. 또한 유도전동기의 구름베어링시스템의 비정상적인 상태에서 고정자전류을 검출하기 위하여 TMS320F2407 DSP 칩을 이용하여 데이터 획득보드를 개발하였다. 이 고정자전류신호를 해석을 통하여 베어링 손상을 검출하기 위한 방법으로 FFT, 웨이브렛 분석 및 내적에 의한 평균 신호패던에 의한 분석결과를 제시하였다. 특히 내적에 의한 신호분석 온 통하여 베어링 손상 여부를 실시간으로 진단할 수 있는 새로운 알고리즘과 분석방법을 제시하였다.

Keywords

References

  1. O.V. Thorsen et al., 'A survey of faults on induction motor in offshore oil industry, petrochemical industry, gas terminals, and oil refineries', IEEE Trans. Industry application, Vol. 31, pp. 1186-1196, Sept./Oct., 1995 https://doi.org/10.1109/28.464536
  2. M.E.H.Benbouzid, 'Bibliography on induction faults detection and diagnosis', IEEE Trans. Energy Conversion, Vol. 14, No. 4, pp. 1065-1074, DEC., 1999 https://doi.org/10.1109/60.815029
  3. M.E.H. Benbouzid et al., 'What stator current processing-based technique to use induction motor rotor faults diagnosis', IEEE Trans. Energy Conversion, Vol. 18, No. 2, June 2003
  4. IAS Motor Reliability Working Group, 'Report of large motor reliability survey of industrial and commercial installations: Part I,' IEEE Trans. Industrial Application, Vol. 21, No. 4, pp. 853-864, July 1985 https://doi.org/10.1109/TIA.1985.349532
  5. P. Eschman et al., 'Ball and Roller bearings: Their Theory, Design, and Application', K.G Heyden, 1958
  6. R. A. Collacott, 'Vibration Monitoring and Diagnosis', John Wiley & Sons, pp. 109-111, 1979
  7. R. R. Shoen et al., 'Effect of time varying load on rotor fault detection in induction machines', in Conf. Rec. 28th Annual IAS Meeting, Oct. 1993, pp324-330
  8. R.R Shoen et al., 'Motor bearing damage detection using stator current monitoring', IEEE Trans., Ind. Application, Vol. 31, pp. 1274-1279, Nov./Dec. 1995 https://doi.org/10.1109/28.475697
  9. R. L. Schiltz, 'Forcing frequency identification of rolling element bearing', Sound and Vibration, pp. 16-19, May 1990
  10. L. Cohen, 'Time frequency Analysis', Prentice-Hall, 1995
  11. S.H Lee et al., 'Introduction to the Wavelet Transform', Jinhan Book Inc., 2002