HMM을 이용한 회전체 결함 진단

Title
HMM을 이용한 회전체 결함 진단
Authors
유홍희
Keywords
은닉 마르코프 모델; 결함 진단; 특징 벡터; 벡터 양자화; 질량 편심; 회전기기; Hidden Markov Model; Fault Diagnosis; Feature Vector; Vector Quantization; Mass Unbalance; Rotating Machine; HMM
Issue Date
2015-04
Publisher
한국소음진동공학회
Citation
춘계학술대회 논문집, 2015.4, 830-831 (2 pages)
Abstract
In recent years, pattern recognition methods have been widely used by many researchers for fault diagnoses of mechanical systems. A pattern recognition method determines the soundness of a mechanical system by detecting variations in the system's vibration characteristics. Hidden Markov model has recently been used as pattern recognition methods in various fields. In this paper, a hidden markov model method for the fault diagnosis of a rotating system is introduced, and a rotating machine with mass unbalance and bearing fault is selected for fault diagnosis. Moreover, a diagnosis procedure to identity the size of a defect is proposed in this paper.
URI
http://www.dbpia.co.kr/Journal/ArticleDetail/NODE06298137?TotalCount=2&Seq=2&q=((%5BHMM%EC%9D%84%20%EC%9D%B4%EC%9A%A9%ED%95%9C%20%ED%9A%8C%EC%A0%84%EC%B2%B4%20%EA%B2%B0%ED%95%A8%20%EC%A7%84%EB%8B%A8%C2%A7coldb%C2%A72%C2%A751%C2%A73%5D))&searchWord=%EC%A0%84%EC%B2%B4%3D%5E%24HMM%EC%9D%84%20%EC%9D%B4%EC%9A%A9%ED%95%9C%20%ED%9A%8C%EC%A0%84%EC%B2%B4%20%EA%B2%B0%ED%95%A8%20%EC%A7%84%EB%8B%A8%5E*&searchWordCondition=%EC%9E%90%EB%A3%8C%EC%9C%A0%ED%98%95%3D%5E%24%EC%A0%84%EC%B2%B4%5E*&Multimedia=0&isIdentifyAuthor=0&Collection=0&isFullText=0&specificParam=0&SearchMethod=0&Sort=1&SortType=desc&Page=1&PageSize=50http://hdl.handle.net/20.500.11754/24205
ISSN
1598-2548
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > MECHANICAL ENGINEERING(기계공학부) > Articles
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