An improved incremental learning approach for KPI prognosis of dynamic fuel cell system

IEEE Transactions on Cybernetics

Volumn 46, Issue 12, 2015, Pages 3135-3144

  Yin, Shen ^a,b   Xie, Xiaochen ^b   Lam, James ^b   Cheung, Kie Chung ^b   Gao, Huijun ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Fault detection; Fuel cell system; Key performance indicator (KPI); Machine learning; Prognosis

Indexed keywords

BENCHMARKING; FAULT DETECTION; FUEL SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; PROCESS MONITORING;

FUEL CELL APPLICATION; FUEL CELL SYSTEM; KEY PERFORMANCE INDICATORS; LOCALLY WEIGHTED PROJECTION REGRESSIONS; PARTIAL LEAST SQUARE (PLS); PROGNOSIS; PROTON EXCHANGE MEMBRANE FUEL CELL SYSTEMS; STATISTICAL INDICATORS;

PROTON EXCHANGE MEMBRANE FUEL CELLS (PEMFC);

EID: 84947975924     PISSN: 21682267     EISSN: 21682275     Source Type: Journal    
DOI: 10.1109/TCYB.2015.2498194     Document Type: Article

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