An adaptive recurrent neural network for remaining useful life prediction of lithium-ion batteries

Annual Conference of the Prognostics and Health Management Society, PHM 2010

Volumn , Issue , 2010, Pages

  Liu, Jie ^a   Saxena, Abhinav ^b   Goebel, Kai ^b   Saha, Bhaskar ^b   Wang, Wilson ^c  

^a CARLETON UNIVERSITY   (Canada)

^b NASA AMES RESEARCH CENTER   (United States)

^c LAKEHEAD UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC BATTERIES; FORECASTING; LITHIUM; LITHIUM ALLOYS; LITHIUM COMPOUNDS; LITHIUM-ION BATTERIES; NETWORK ARCHITECTURE; RECURRENT NEURAL NETWORKS; SYSTEMS ENGINEERING;

EMERGING SCIENCE; HEALTH CONDITION; LEVENBERG-MARQUARDT; MAINTENANCE SERVICES; NETWORK WEIGHTS; REMAINING USEFUL LIFE PREDICTIONS; STATE FORECASTING; SYSTEM DYNAMICS;

LITHIUM BATTERIES;

EID: 84920520611     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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