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http://dx.doi.org/10.5050/KSNVN.2006.16.5.495

Bearing Fault Diagnosis Using Automaton through Quantization of Vibration Signals  

Kim, Do-Hyun (성균관대학교 대학원 기계공학과)
Choi, Yeon-Sun (성균관대학교 기계공학과)
Publication Information
Transactions of the Korean Society for Noise and Vibration Engineering / v.16, no.5, 2006 , pp. 495-502 More about this Journal
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.
Keywords
Model-based Fault Diagnosis; Bearing; Quantized System; Qualitative Diagnosis; Automaton; ATM Machine;
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