Open AccessFault Diagnosis of Rotating System Mass Unbalance Using Hidden Markov Model
Author(s) -
Jungmin Ko,
Chankyu Choi,
Kang Ting,
Sang Do Han,
Jinho Park,
Hyojong Yoo
Publication year - 2015
Publication title -
han-guk soeum jindong gonghakoe nonmunjip/han'gug soeum jindong gonghaghoe nonmunjib
Language(s) - English
Resource type - Journals
eISSN - 2287-5476
pISSN - 1598-2785
DOI - 10.5050/ksnve.2015.25.9.637
Subject(s) - fault (geology) , hidden markov model , pattern recognition (psychology) , soundness , vibration , markov chain , identity (music) , computer science , engineering , variation (astronomy) , artificial intelligence , machine learning , acoustics , physics , seismology , programming language , geology , astrophysics
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.? ??? 2015?? ???? (KETEP)? ??? ?? ??? ?? .(NO. 2011510100050)