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초록
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.
키워드
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
- 제목
- HMM을 이용한 회전체 시스템의 질량편심 결함진단
- 제목 (타언어)
- Fault Diagnosis of Rotating System Mass Unbalance Using Hidden Markov Model
- 저자
- 고정민; 최찬규; 강토; 한순우; 박진호; 유홍희
- 발행일
- 2015-09
- 저널명
- 한국소음진동공학회논문집
- 권
- 25
- 호
- 9
- 페이지
- 637 ~ 643