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Fault Diagnosis of Rotating System Mass Unbalance Using Hidden Markov Model
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 Title & Authors
Fault Diagnosis of Rotating System Mass Unbalance Using Hidden Markov Model
Ko, Jungmin; Choi, Chankyu; Kang, To; Han, Soonwoo; Park, Jinho; Yoo, Honghee;
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 Abstract
In recent years, pattern recognition methods have been widely used by many researchers for fault diagnoses of mechanical systems. The soundness of a mechanical system can be checked by analyzing the variation of the system vibration characteristic along with a pattern recognition method. Recently, the hidden Markov model has been widely used as a pattern recognition method in various fields. In this paper, the hidden Markov model is employed for the fault diagnosis of the mass unbalance of a rotating system. Mass unbalance is one of the critical faults in the rotating system. A procedure to identity the location and size of the mass unbalance is proposed and the accuracy of the procedure is validated through experiment.
 Keywords
Hidden Markov Model;Fault Diagnosis;Feature Vector;Vector Quantization;Mass Unbalance;Rotating System;
 Language
Korean
 Cited by
 References
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