A state-space-based prognostic model for hidden and age-dependent nonlinear degradation process

IEEE Transactions on Automation Science and Engineering

Volumn 10, Issue 4, 2013, Pages 1072-1086

  Feng, Lei ^a,b   Wang, Hongli ^a   Si, Xiaosheng ^a,b   Zou, Hongxing ^b  

^a XI'AN RESEARCH INSTITUTE OF HIGH TECHNOLOGY   (China)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

Brownian motion (BM); expectation maximization (EM); extended Kalman filter (EKF); nonlinearity; prognosis; remaining useful life (RUL)

Indexed keywords

DEGRADATION PROCESS; ENGINEERING PRACTICES; EXPECTATION MAXIMIZATION; EXPECTATION-MAXIMIZATION ALGORITHMS; NONLINEARITY; PROGNOSIS; REMAINING USEFUL LIVES; STATE - SPACE MODELS;

ALGORITHMS; BROWNIAN MOVEMENT; ESTIMATION; FUNCTIONS; MAXIMUM PRINCIPLE; NASA; STATE SPACE METHODS;

EXTENDED KALMAN FILTERS;

EID: 84885472073     PISSN: 15455955     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASE.2012.2227960     Document Type: Article

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