HMM을 이용한 회전체 시스템의 질량편심 결함진단
- Title
- HMM을 이용한 회전체 시스템의 질량편심 결함진단
- Other Titles
- Fault Diagnosis of Rotating System Mass Unbalance Using Hidden Markov Model
- Author
- 유홍희
- Keywords
- 은닉 마르코프 모델; 결함 진단; 특징 벡터; 벡터 양자화; 질량 편심; 회전체; Hidden Markov Model; Fault Diagnosis; Feature Vector; Vector Quantization; Mass Unbalance; Rotating System
- Issue Date
- 2015-09
- Publisher
- 한국소음진동공학회
- Citation
- 한국소음진동공학회논문집, v. 25, NO 9, Page. 637-643
- 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.
- URI
- http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=SOJDCM_2015_v25n9_637http://hdl.handle.net/20.500.11754/27641
- ISSN
- 1598-2785; 2287-5476
- DOI
- 10.5050/KSNVE.2015.25.9.637
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > MECHANICAL ENGINEERING(기계공학부) > Articles
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