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Remaining useful life prediction of rail transit bearings b..:

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

Huang, G. ; Yan, B. ; Ma, X... - p. None , 2022

Link: https://doi.org/10.1049/icp.2022.3113

RT 
T1 <cTitle>12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2022)</cTitle>: T1 <Title>Remaining useful life prediction of rail transit bearings based on statistical life and degradation characteristics</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10110415&Exemplar=1&LAN=DE
				
A1 Huang, G.
A1 Yan, B.
A1 Ma, X.
A1 Zhao, Y.
A1 Wang, Y.
YR 2022
K1 condition monitoring
K1 fault diagnosis
K1 feature extraction
K1 machine bearings
K1 maximum likelihood estimation
K1 mechanical engineering computing
K1 Monte Carlo methods
K1 rapid transit systems
K1 remaining life assessment
K1 degradation characteristics
K1 generalized resonance theory based fault diagnosis
K1 health state analysis
K1 joint implement
K1 Monte Carlo simulation
K1 rail transit bearings
K1 rapid degradation phase
K1 remaining useful life prediction
K1 statistical life
K1 steady operation phase
K1 two-stage RUL prediction model
K1 twophase behaviour
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2022.3113
DO https://doi.org/10.1049/icp.2022.3113
SF ELIB - SuUB Bremen

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