Remaining Useful Life Prediction Using Dual-Channel LSTM with Time Feature and Its Difference

Remaining Useful Life Prediction Using Dual-Channel LSTM with Time Feature and Its Difference

At present, the research on the prediction of the remaining useful life (RUL) of machinery mainly focuses on multi-sensor feature extraction and then uses the features to predict RUL. In complex operations and multiple abnormal environments, the impact of noise may result in increased model complexi...

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Bibliographic Details
Main Authors: Cheng Peng, Jiaqi Wu, Qilong Wang, Weihua Gui, Zhaohui Tang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Entropy
Subjects:
dual-channel LSTM
feature difference
momentum smoothing
RUL
Online Access:https://www.mdpi.com/1099-4300/24/12/1818

Internet

https://www.mdpi.com/1099-4300/24/12/1818

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