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A hybrid regression method for health prognostics of proton..:

, In: 12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2022),

Wei, Z. ; Lin, Y. ; Peng, W. - p. None , 2022

Link: https://doi.org/10.1049/icp.2022.3122

RT 
T1 <cTitle>12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2022)</cTitle>: T1 <Title>A hybrid regression method for health prognostics of proton exchange membrane fuel cells</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10110427&Exemplar=1&LAN=DE
				
A1 Wei, Z.
A1 Lin, Y.
A1 Peng, W.
YR 2022
K1 condition monitoring
K1 durability
K1 fuzzy neural nets
K1 fuzzy reasoning
K1 mean square error methods
K1 polynomials
K1 power engineering computing
K1 proton exchange membrane fuel cells
K1 random forests
K1 recurrent neural nets
K1 regression analysis
K1 Adaptive Neuro-Fuzzy Inference Systems method
K1 fluctuation prediction
K1 health degradation
K1 health prognostic
K1 hybrid regression method
K1 long-term prediction
K1 PEMFC
K1 polynomial regression
K1 promising clean energy system
K1 random forest regression
K1 regressions
K1 trend prediction
K1 voltage degradation prediction
K1 voltage evolution
K1 voltage prediction
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2022.3122
DO https://doi.org/10.1049/icp.2022.3122
SF ELIB - SuUB Bremen

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