SCOPUS 정보 검색 플랫폼

Zhendong yu Chongji/Journal of Vibration and Shock

Volumn 29, Issue 5, 2010, Pages 11-15

Bearing fault diagnosis with a MSVM based on a GARCH model

(4) Tao, Xin Min a Xu, Jing b Yang, Li Biao a Liu, Yu a

a HARBIN ENGINEERING UNIVERSITY (China)

b HEILONGJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY (China)

Author keywords

Fault diagnosis; GARCH model; Multi class support vector machine (MSVM)

Indexed keywords

AR MODELS; AR PARAMETER; AUTO REGRESSIVE MODELS; BEARING FAULT DETECTION; BEARING FAULT DIAGNOSIS; CONVENTIONAL METHODS; DIAGNOSIS MODEL; FAULT DIAGNOSIS; GARCH MODELS; GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY; MULTICLASS SUPPORT VECTOR MACHINES; NONSTATIONARY; SIGNAL CHARACTERISTIC; VIBRATION SIGNAL;

ARGON; BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); FAILURE ANALYSIS; GEARS; SUPPORT VECTOR MACHINES;

FAULT DETECTION;

EID: 77954127232 PISSN: 10003835 EISSN: None Source Type: Journal
DOI: None Document Type: Article

Times cited : (7)

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- These data comes from Case Western Reserve University Bearing Data Center Website [OL]. http://www.eecs.cwru.edu/laboratory/bearings/.
- These Aata Comes From Case Western Reserve University Bearing Data Center Website

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.