Intelligent prognostics for battery health monitoring using the mean entropy and relevance vector machine

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Volumn 44, Issue 7, 2014, Pages 851-862

  Li, Hong ^a   Pan, Donghui ^a   Chen, C L Philip ^b,c  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b UNIVERSITY OF MACAU   (Macao)

^c UMacau Research Institute   (China)

Author keywords

Health monitoring; Mean entropy; Prognostics; Relevance vector machine (RVM); Remaining life; State of health (SOH)

Indexed keywords

ENTROPY; FORECASTING; LITHIUM-ION BATTERIES; PREDICTIVE ANALYTICS; TIME SERIES;

HEALTH MONITORING; PROGNOSTICS; RELEVANCE VECTOR MACHINE; REMAINING LIFE; STATE OF HEALTH;

BATTERY MANAGEMENT SYSTEMS;

EID: 84903145771     PISSN: 21682216     EISSN: 21682232     Source Type: Journal    
DOI: 10.1109/TSMC.2013.2296276     Document Type: Article

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