HMM을 이용한 회전체 시스템의 질량편심 결함진단
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 고정민 | - |
dc.contributor.author | 최찬규 | - |
dc.contributor.author | 강토 | - |
dc.contributor.author | 한순우 | - |
dc.contributor.author | 박진호 | - |
dc.contributor.author | 유홍희 | - |
dc.date.accessioned | 2022-07-15T21:04:35Z | - |
dc.date.available | 2022-07-15T21:04:35Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2015-09 | - |
dc.identifier.issn | 1598-2785 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/156404 | - |
dc.description.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. | - |
dc.language | 한국어 | - |
dc.language.iso | ko | - |
dc.publisher | 한국소음진동공학회 | - |
dc.title | HMM을 이용한 회전체 시스템의 질량편심 결함진단 | - |
dc.title.alternative | Fault Diagnosis of Rotating System Mass Unbalance Using Hidden Markov Model | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 유홍희 | - |
dc.identifier.doi | 10.5050/KSNVE.2015.25.9.637 | - |
dc.identifier.bibliographicCitation | 한국소음진동공학회논문집, v.25, no.9, pp.637 - 643 | - |
dc.relation.isPartOf | 한국소음진동공학회논문집 | - |
dc.citation.title | 한국소음진동공학회논문집 | - |
dc.citation.volume | 25 | - |
dc.citation.number | 9 | - |
dc.citation.startPage | 637 | - |
dc.citation.endPage | 643 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART002029781 | - |
dc.description.journalClass | 2 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | 은닉 마르코프 모델 | - |
dc.subject.keywordAuthor | 결함 진단 | - |
dc.subject.keywordAuthor | 특징 벡터 | - |
dc.subject.keywordAuthor | 벡터 양자화 | - |
dc.subject.keywordAuthor | 질량 편심 | - |
dc.subject.keywordAuthor | 회전체 | - |
dc.subject.keywordAuthor | Hidden Markov Model | - |
dc.subject.keywordAuthor | Fault Diagnosis | - |
dc.subject.keywordAuthor | Feature Vector | - |
dc.subject.keywordAuthor | Vector Quantization | - |
dc.subject.keywordAuthor | Mass Unbalance | - |
dc.subject.keywordAuthor | Rotating System | - |
dc.identifier.url | http://koreascience.or.kr/article/JAKO201536553081542.page | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.