Using dynamic Bayesian networks for prognostic modelling to inform maintenance decision making

IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management

Volumn , Issue , 2009, Pages 1155-1159

  McNaught, K R ^a   Zagorecki, A ^a  

^a CRANFIELD UNIVERSITY   (United Kingdom)

Author keywords

Condition based maintenance; Probabilistic graphical model; Reliability

Indexed keywords

CONDITION BASED MAINTENANCE; DYNAMIC BAYESIAN NETWORK; MAINTENANCE DECISION MAKING; MAINTENANCE DECISIONS; MAINTENANCE POLICY; PROBABILISTIC GRAPHICAL MODELS;

CONDITION MONITORING; DECISION MAKING; DISTRIBUTED PARAMETER NETWORKS; EQUIPMENT; GRAPHIC METHODS; INDUSTRIAL ENGINEERING; INFERENCE ENGINES; INTELLIGENT NETWORKS; QUALITY ASSURANCE; RELIABILITY; REPAIR; SPEECH RECOGNITION;

BAYESIAN NETWORKS;

EID: 77949503618     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEEM.2009.5372973     Document Type: Conference Paper

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