Repository at Hanyang UniversityCOLLEGE OF ENGINEERING[S](공과대학)MECHANICAL ENGINEERING(기계공학부)Articles
557 0

Full metadata record

DC FieldValueLanguage
dc.contributor.author유홍희-
dc.date.accessioned2016-11-29T01:42:35Z-
dc.date.available2016-11-29T01:42:35Z-
dc.date.issued2015-05-
dc.identifier.citation2015년도 동역학 및 제어부문 춘계학술대회 논문집, 2015.05, 117-118en_US
dc.identifier.urihttp://www.dbpia.co.kr/Journal/ArticleDetail/NODE06340976?TotalCount=1&Seq=1&q=%5B%EB%B2%A0%EC%96%B4%EB%A7%81%20%EC%9C%A0%ED%99%8D%ED%9D%AC%C2%A7coldb%C2%A72%C2%A751%C2%A73%5D&searchWord=%EC%A0%84%EC%B2%B4%3D%5E%24%EB%B2%A0%EC%96%B4%EB%A7%81%20%EC%9C%A0%ED%99%8D%ED%9D%AC%5E*&Multimedia=0&isIdentifyAuthor=0&Collection=0&SearchAll=%EB%B2%A0%EC%96%B4%EB%A7%81%20%EC%9C%A0%ED%99%8D%ED%9D%AC&isFullText=0&specificParam=0&SearchMethod=0&Sort=1&SortType=desc&Page=1&PageSize=20-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/24599-
dc.description.abstractIn 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 systems's vibration characteristics. Hidden Markov model (HMM) has recently been used as pattern recognition methods in various fields. In this study, a HMM method for the fault diagnosis of a rotating machine with bearing fault is introduced. The existence, location, and quantity of bearing fault are identified. Also Fast Fourier Transform (FFT) is employed to extract feature vector.en_US
dc.description.sponsorship본 연구는 2015년도 산업통산자원부의 재원으로 한국에너지기술평가원(KETEP)의 지원을 받아 수행한 연구 과제입니다. (NO.2011510100050)en_US
dc.language.isoko_KRen_US
dc.publisher대한기계학회en_US
dc.subjectHidden Markov Modelen_US
dc.subjectHMM, 마르코프 모델en_US
dc.subjectFault Diagnosisen_US
dc.subject결함 진단en_US
dc.subjectFeature Vectoren_US
dc.subject특징벡터en_US
dc.subjectVector Quantizationen_US
dc.subject벡터 양자화en_US
dc.subjectBearing faulten_US
dc.subject베어링 결함en_US
dc.title베어링 결함이 있는 회전기계의 상태 진단을 위한 은닉 마르코프 모델의 적용en_US
dc.title.alternativeApplication of Hidden Markov Model to Condition Monitoring of Rotating Machine with Mass Unbalanceen_US
dc.typeArticleen_US
dc.relation.page1-2-
dc.contributor.googleauthor고정민-
dc.contributor.googleauthor최찬규-
dc.contributor.googleauthor강토-
dc.contributor.googleauthor한순우-
dc.contributor.googleauthor박진호-
dc.contributor.googleauthor유홍희-
dc.contributor.googleauthorKo, Jungmin-
dc.contributor.googleauthorChoi, Chan Kyu-
dc.contributor.googleauthorKang, To-
dc.contributor.googleauthorHan, Soon Woo-
dc.contributor.googleauthorPark, Jini-Ho-
dc.contributor.googleauthorYoo, Hong Hee-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDIVISION OF MECHANICAL ENGINEERING-
dc.identifier.pidhhyoo-
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
Show simple item record


qrcode

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

BROWSE