Toward Smart Condition Monitoring of Rotatory Machines: An Optimized Probabilistic Signal Reconstruction Methodology for Fault Prediction With Multisource Uncertainties

Toward Smart Condition Monitoring of Rotatory Machines: An Optimized Probabilistic Signal Reconstruction Methodology for Fault Prediction With Multisource Uncertainties

Faults in the critical components of a large rotatory machine often result in unplanned breakdowns, leading to a significant loss of property and life. Condition monitoring, as a key component in the smart maintenance of industrial equipment, has become a promising tool for providing automatic early...

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Bibliographic Details
Main Authors: Xiaomo Jiang, Weijian Tang, Haixin Zhao, Xueyu Cheng
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Bayesian wavelets
similarity-based learning
OAKR
signal reconstruction
PPCA
fault prediction
Online Access:https://ieeexplore.ieee.org/document/9791218/
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