Predicting remaining useful life based on the failure time data with heavy-tailed behavior and user usage patterns using proportional hazards model

Proceedings - 9th International Conference on Machine Learning and Applications, ICMLA 2010

Volumn , Issue , 2010, Pages 623-628

  Li, Zhiguo ^a   Kott, Gregory ^a  

^a XEROX CORPORATION   (United States)

Author keywords

Failure time data; Heavy tailed behavior; Prognostics; Proportional hazards model; Remaining useful life; User usage patterns

Indexed keywords

FAILURE TIME DATA; HEAVY-TAILED BEHAVIOR; PROGNOSTICS; PROPORTIONAL HAZARDS MODEL; REMAINING USEFUL LIVES; USER USAGE PATTERNS;

DECISION TREES; FORECASTING; HAZARDS; LEARNING SYSTEMS; MACHINERY; MAINTAINABILITY; PROGRAM DIAGNOSTICS;

BEHAVIORAL RESEARCH;

EID: 79952393740     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2010.96     Document Type: Conference Paper

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