Experimental Validation of Fault Diagnosis of Rotating System using Hidden Markov Model
- Title
- Experimental Validation of Fault Diagnosis of Rotating System using Hidden Markov Model
- Author
- 고정민
- Advisor(s)
- 유홍희
- Issue Date
- 2015-08
- Publisher
- 한양대학교
- Degree
- Master
- Abstract
- In recent research, pattern recognition method has been widely used by many researchers for fault diagnoses of mechanical systems. Also it determines the soundness of a mechanical system by detecting variations in the system's vibration characteristics. Hidden Markov model (HMM) has recently been used as pattern recognition methods in various fields. This study proposed a HMM based algorithm to judge whether a mechanical system has a defect, to distinguish a type of a defect, and to diagnose the size and location of the defect. As a subject system, the simulation device of rotating body was prepared. An experiment was conducted to examine the effectiveness of the algorithm.
- URI
- https://repository.hanyang.ac.kr/handle/20.500.11754/128108http://hanyang.dcollection.net/common/orgView/200000426997
- Appears in Collections:
- GRADUATE SCHOOL[S](대학원) > MECHANICAL CONVERGENCE ENGINEERING(융합기계공학과) > Theses (Master)
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