Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life

Reliability Engineering and System Safety

Volumn 103, Issue , 2012, Pages 120-135

  Hu, Chao ^a   Youn, Byeng D ^b   Wang, Pingfeng ^c   Taek Yoon, Joung ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b Seoul National University   (South Korea)

^c Wichita State University   (United States)

Author keywords

Data driven prognostics; Ensemble; k fold cross validation; RUL prediction; Weighting schemes

Indexed keywords

CROSS VALIDATION; DATA-DRIVEN PROGNOSTICS; ENGINEERED SYSTEMS; ENSEMBLE; PREDICTION ACCURACY; PREDICTION ERRORS; PROGNOSTIC APPROACH; REMAINING USEFUL LIVES; STAND-ALONE ALGORITHM; TESTING DATA; TRAINING DATA; TRAINING DATA SETS; WEIGHTED-SUM; WEIGHTING SCHEME;

CONDITION MONITORING; FORECASTING; NUCLEAR POWER PLANTS; OPTIMIZATION; SYSTEMS ENGINEERING;

ALGORITHMS;

EID: 84860375483     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2012.03.008     Document Type: Article

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