An approximate algorithm for prognostic modelling using condition monitoring information

European Journal of Operational Research

Volumn 211, Issue 1, 2011, Pages 90-96

  Carr, Matthew J ^a   Wang, Wenbin ^b,c  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b UNIVERSITY OF SALFORD   (United Kingdom)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Condition based maintenance; Condition monitoring; Extended Kalman filter; Prognostic modelling; Residual life

Indexed keywords

ALTERNATIVE APPROACH; APPROXIMATE ALGORITHMS; CONDITION BASED MAINTENANCE; CONDITION-MONITORING DATA; CONDITIONAL DENSITY; CONDITIONAL PROBABILITY DENSITY; DECISION MODELS; DIRECT USE; KALMAN-FILTERING; MODELLING TECHNIQUES; MONITORING INFORMATION; NUMBER OF COMPONENTS; PROGNOSTIC MODELLING; RESIDUAL LIFE; VIBRATION MONITORING;

COMPUTATIONAL EFFICIENCY; EXTENDED KALMAN FILTERS; MAINTAINABILITY; POSITION CONTROL; PROBABILITY DENSITY FUNCTION;

CONDITION MONITORING;

EID: 79551496272     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2010.10.023     Document Type: Article

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