Fault Prediction of Rolling Element Bearings Using the Optimized MCKD–LSTM Model

Fault Prediction of Rolling Element Bearings Using the Optimized MCKD–LSTM Model

The reliability and safety of rotating equipment depend on the performance of bearings. For complex systems with high reliability and safety needs, effectively predicting the fault data in the use stage has important guiding significance for reasonably formulating reliability plans and carrying out...

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Bibliographic Details
Main Authors: Leilei Ma, Hong Jiang, Tongwei Ma, Xiangfeng Zhang, Yong Shen, Lei Xia
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Machines
Subjects:
deep learning
time series prediction
long short-term memory
recurrent neural network
maximum correlation kurtosis deconvolution
cuckoo search
Online Access:https://www.mdpi.com/2075-1702/10/5/342

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https://www.mdpi.com/2075-1702/10/5/342

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