Modeling failure modes for residual life prediction using stochastic filtering theory

IEEE Transactions on Reliability

Volumn 59, Issue 2, 2010, Pages 346-355

  Carr, Matthew J ^a   Wang, Wenbin ^a  

^a UNIVERSITY OF SALFORD   (United Kingdom)

Author keywords

Condition monitoring; Failure mode analysis; Residual life; Stochastic filtering

Indexed keywords

BAYESIAN MODEL; BAYESIAN MODELING; COMPONENT FAILURES; CONDITION BASED MAINTENANCE; CONDITIONAL PROBABILITY DENSITY; FAILURE MODE ANALYSIS; GENERAL MODEL; HISTORICAL DATA; MODELING FAILURES; MODELING PRINCIPLES; MODELING PROCEDURE; MODELING PROCESS; MONITORING POINTS; POTENTIAL FAILURE MODES; RESIDUAL LIFE; RESIDUAL LIFE PREDICTION; STOCHASTIC FILTERING; STOCHASTIC FILTERS;

BAYESIAN NETWORKS; COMPUTER SIMULATION; FAILURE MODES; FATIGUE OF MATERIALS; FORECASTING; MAINTENANCE; PATIENT MONITORING; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; QUALITY ASSURANCE; RELIABILITY ANALYSIS; STOCHASTIC SYSTEMS;

CONDITION MONITORING;

EID: 77953121977     PISSN: 00189529     EISSN: None     Source Type: Journal    
DOI: 10.1109/TR.2010.2044607     Document Type: Article

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