Transactions of the Korean Society for Noise and Vibration Engineering (한국소음진동공학회논문집)

The Korean Society for Noise and Vibration Engineering (한국소음진동공학회)
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A Development of the Algorithm to Detect the Fault of the Induction Motor Using Motor Current Signature Analysis

전류분석을 이용한 유도 전동기의 결함분석 알고리듬 개발

  • 신대철 (호서대학교 전기정보통신공학부) ;
  • 정병훈 (호서대학교 대학원 전기공학과)
  • Published : 2004.08.01
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Abstract

The motor current signature provides an important source of the information for the faults diagnosis of three-phase induction motor. The theoretical principles behind the generation of unique signal characteristics, which are indicative of failure mechanisms, are Presented. The fault detection techniques that can be used to diagnose mechanical Problems, stator and rotor winding failure mechanisms, and air-gap eccentricity are described. A theoretical analysis is presented which predicts the presence of unique signature patterns in the current that are only characteristics of the fault. The predictions are verified by experimental results from a special fault Producing test rig and on-site tests in a steel company. And this study have made new diagnostic algorithm for the operating induction motors with the test results. These developments are including the use of monitoring and analysis of electric current to diagnose mechanical and electrical problems and gave the precise test results automatically.

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References

  1. Bowers, S. V., 1996. "Integrated Strategy for Predictive Maintenance of AC Induction Motors," P/PM technology Magazine. pp. 34-40.
  2. Taver, P. J., Gayden, B. G. and Ward, D. M., 1986. "Monitoring Generators & Large Motors." IEE Proceedings. Vol. 133. Pt. B. No.3.
  3. Kryter, R. C. and Haynes, H. D., 1989. "Condition Monitoring of Machinery Using of Motor Current Signature." Journal of Sound and Vibration. pp. 14-21.
  4. 정병훈, 신대철, "전류신호를 이용한 유도전동기의 회전자봉 결함검출에 관한 연구", 한국소음진동공학회논문집, 제12권, 제4호, pp.287-293. https://doi.org/10.5050/KSNVN.2002.12.4.287
  5. Berry, J. E., 1999. Comparison of Motor Current Analysis and Vibration Analysis in Detecting Rotor Bar and Air Gap Eccentricity Problems in Induction Motors. Chap. 4, Technical Associates of Charlotte. P. C.
  6. Cameron, J. R. and Thomson, B., 1986. "Vibration and Current Monitoring for Detecting Airgap Eccentricity in Large Induction Motors." IEE Proceedings. Vol. 133. Pt. B. No 3. pp. 155-163.
  7. Schoen, R .R., Habetler, T. G., Kamran, F. and Bartheld, R. G., 1995. "Motor Bearing Damage Detection Using Stator Current Monitoring." IEEE Trns. Ind. Application vol. 31, pp. 1274-1279. https://doi.org/10.1109/28.475697
  8. Bethel, N.. 1999. "Improving Motor Reliability, through Static and Dynamic Testing." P/PM Technology Journal. August, pp. 32-33.
  9. 안경룡, 한천, 양보석, 전재진, 김원철, 2002, "ART-kohonen 신경망을 이용한 회전기계의 결함진단 알고리듬," 한국소음진동공학회논문집, 제12권, 제10호, pp.799-807.
  10. Campbell, W. R., 1985. "Diagnosing Alternating Current Electric Motor Problems. Part 2: Electromagnetic Problems." Vibrations Journal. Vol. 1 No.3. pp. 12-15.