Remaining useful life prediction with uncertainty quantification: development of a highly accurate model for rotating machinery.
Zhaoyi XuYanjie GuoJoseph Homer SalehPublished in: CoRR (2021)
Keyphrases
- highly accurate
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- theoretical framework
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- neural network
- computational model
- probabilistic model
- case study
- prediction accuracy
- formal model
- learning algorithm
- decision theory
- em algorithm
- theoretical analysis
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- statistical model
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- development process
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- data mining