Diagnostics and prognostics using switching Kalman filters

Structural Health Monitoring

Volumn 13, Issue 3, 2014, Pages 296-306

  Reuben, Lim Chi Keong ^a   Mba, David ^a  

^a CRANFIELD UNIVERSITY   (United Kingdom)

Author keywords

diagnostics; prognostics; remaining useful life prediction; rolling element bearing; Switching Kalman filter

Indexed keywords

BAYESIAN NETWORKS; CONDITION MONITORING; DECISION MAKING; FAULT DETECTION; PLASMA DIAGNOSTICS; STRUCTURAL HEALTH MONITORING; SWITCHING; SYSTEMS ENGINEERING;

CONDITION-MONITORING DATA; DIAGNOSTICS AND PROGNOSTICS; HEALTH AND USAGE MONITORING SYSTEMS; MAINTENANCE DECISION MAKING; PROGNOSTICS; REMAINING USEFUL LIFE PREDICTIONS; REPUBLIC OF SINGAPORE AIR FORCE; ROLLING ELEMENT BEARING;

KALMAN FILTERS;

EID: 84900327405     PISSN: 14759217     EISSN: 17413168     Source Type: Journal    
DOI: 10.1177/1475921714522844     Document Type: Article

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