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A two-stage approach based on Bayesian deep learning for predicting remaining useful life of rolling element bearings.
Kaijian Chen
Jingna Liu
Wenwu Guo
Xizhao Wang
Published in:
Comput. Electr. Eng. (2023)
Keyphrases
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deep learning
unsupervised feature learning
unsupervised learning
machine learning
deep architectures
weakly supervised
maximum likelihood
mental models
restricted boltzmann machine
bayesian networks
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