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Rong Jing
Rong Jing
Master in Industrial Engineering, University of Michigan-Dearborn
Bestätigte E-Mail-Adresse bei umich.edu
Titel
Zitiert von
Zitiert von
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A copula-based sampling method for data-driven prognostics
Z Xi, R Jing, P Wang, C Hu
Reliability Engineering & System Safety 132, 72-82, 2014
732014
A copula-based sampling method for data-driven prognostics and health management
Z Xi, R Jing, P Wang, C Hu
2013 IEEE conference on prognostics and health management (PHM), 1-10, 2013
242013
A systematic framework for battery performance estimation considering model and parameter uncertainties
R Jing, Z Xi, XG Yang, E Decker
International Journal of Prognostics and Health Management 5 (2), 2014
192014
State of charge estimation of lithium-ion batteries considering model Bias and parameter uncertainties
Z Xi, R Jing, X Yang, E Decker
International Design Engineering Technical Conferences and Computers and …, 2014
92014
Recent research on battery diagnostics, prognostics, and uncertainty management
Z Xi, R Jing, C Lee, M Hayrapetyan
Advances in Battery Manufacturing, Service, and Management Systems, 175-216, 2016
72016
Diagnostics and Prognostics of Lithium-ion Batteries
Z Xi, R Jing, C Lee
International Design Engineering Technical Conferences and Computers and …, 2015
32015
State of charge estimation of lithium-ion batteries considering model and parameter uncertainties
Z Xi, R Jing, XG Yang, E Decker
Annual Conference of the PHM Society 5 (1), 2013
2013
DETC2013-13592
Z Xi, R Jing
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