275 0

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
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE