An adaptive and nonlinear drift-based Wiener process for remaining useful life estimation

2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011

Volumn , Issue , 2011, Pages

  Si, Xiao Sheng ^a,b   Hu, Chang Hua ^a   Chen, Mao Yin ^b   Wang, Wenbin ^c,d,e  

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

^b TSINGHUA UNIVERSITY   (China)

^c UNIVERSITY OF SALFORD   (United Kingdom)

^d UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

^e CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

first hitting time; Kalman filter; prognostics; Remaining useful life; Wiener process

Indexed keywords

BAYESIAN FILTERING; CENTRAL COMPONENT; DEGRADATION PROCESS; DIFFUSION PROCESS; DRIFT COEFFICIENT; EXPECTATION-MAXIMIZATION ALGORITHMS; FIRST HITTING TIME; HIDDEN STATE; LINEAR MODEL; NON-LINEARITY; NUMERICAL EXAMPLE; PROGNOSTICS; PROGNOSTICS AND HEALTH MANAGEMENTS; REMAINING USEFUL LIVES; STATE SPACE MODEL; TIME-DEPENDENT; WIENER PROCESS;

ALGORITHMS; ESTIMATION; HEALTH; KALMAN FILTERS; NONLINEAR ANALYSIS; NUMERICAL METHODS; PROBABILITY DENSITY FUNCTION; RANDOM PROCESSES; STATE SPACE METHODS;

PARAMETER ESTIMATION;

EID: 79960897225     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PHM.2011.5939534     Document Type: Conference Paper

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