Combination of probability approach and support vector machine towards machine health prognostics

Probabilistic Engineering Mechanics

Volumn 26, Issue 2, 2011, Pages 165-173

  Caesarendra, Wahyu ^a,c   Widodo, Achmad ^b   Yang, Bo Suk ^a  

^a Pukyong National University   (South Korea)

^b DIPONEGORO UNIVERSITY   (Indonesia)

^c UNIVERSITY OF WOLLONGONG   (Australia)

Author keywords

Cox proportional hazard model; Failure degradation; Machine health prognostics; Support vector machine; Survival analysis

Indexed keywords

BEARING CONDITIONS; COMBINED METHOD; COX MODEL; DATA SETS; DEGRADATION PARAMETER; EXPERIMENTAL DATA; FAILURE CONDITIONS; FAILURE DEGRADATION; FAILURE RATE; FINAL FAILURES; INDIVIDUAL BEARING; MACHINE HEALTH; OPERATING CONDITION; PREDICTION MODEL; PROBABILITY APPROACH; PROPORTIONAL HAZARD MODELS; SIMULATED DATA; SURVIVAL ANALYSIS; TARGET VECTORS; WEIBULL PROBABILITY;

ARTIFICIAL INTELLIGENCE; BEARINGS (STRUCTURAL); BIOINFORMATICS; COMPUTER SIMULATION; CONDITION MONITORING; DEGRADATION; FORECASTING; HAZARDS; HEALTH; MATHEMATICAL MODELS; RELIABILITY THEORY; SUPPORT VECTOR MACHINES; VECTORS; WEIBULL DISTRIBUTION;

QUALITY ASSURANCE;

EID: 78649978380     PISSN: 02668920     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.probengmech.2010.09.008     Document Type: Article

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