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

The Korean Society for Noise and Vibration Engineering (한국소음진동공학회)
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Bearing Fault Diagnosis Using Automaton through Quantization of Vibration Signals

진동신호 양자화에 의한 거동반응을 이용한 베어링 고장진단

  • 김도현 (성균관대학교 대학원 기계공학과) ;
  • 최연선 (성균관대학교 기계공학과)
  • Published : 2006.05.01
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Abstract

A fault diagnosis method is developed in this study using automaton through quantization of vibration signals for normal and faulty conditions, respectively. Automaton is a kind of qualitative model which describes the system behaviour at the level of abstraction. The system behavior was extracted from the probability of the output sequence of vibration signals. The sequence was made as vibration levels by reconstructing the originally measured vibration signals. As an example, a fault diagnosis for the bearing of ATM machine was done, which detected the bearing fault with confident level compared to any other existing methods of kurtosis or spectrum analysis.

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References

  1. Lunze, J. 1998, 'Qualitative Modeling of Dynamical System Motivation, Methods, and Prospective applications,' Mathematics and Computers in Simulation, Vol. 4, pp. 465-483
  2. Lunze, J., Nixdorf, B. and Richter, H., 2001, 'Process Supervision by Means of a Hybrid Model,' Journal of Process Control, Vol. 11, pp. 89-104 https://doi.org/10.1016/S0959-1524(99)00067-0
  3. Venkatasubramanian, V., Rengaswamy, R. and Kavuri, S. 2003, 'A Review of Process Fault Detection and Diagnosis Part II: Qualitative Models and Search Strategies,' Computers and Chemical Engineering, Vol. 27, pp. 313-326 https://doi.org/10.1016/S0098-1354(02)00161-8
  4. Gradisek, J. and Grabec, I. 2002, 'Qualitative and Quantitative Analysis of Stochastic Processes Based on Measured Data, I,ll : Theory and Applications to Synthetic Data,' Journal of Sound and Vibration, Vol. 252, No.3, pp. 545-562, 564-57 https://doi.org/10.1006/jsvi.2001.4148
  5. Martin, H. R., 1992, 'Detection of Gear Damage by Statistical Vibration Analysis,' Proceedings of the Institution of Mechanical Engineers, pp. 395-401

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  1. Parameter Selection for Condition Monitoring of LCD Conveyance Robot by Using Vibration Signals vol.35, pp.12, 2011, https://doi.org/10.3795/KSME-A.2011.35.12.1593