A DLSTM-Network-Based Approach for Mechanical Remaining Useful Life Prediction

A DLSTM-Network-Based Approach for Mechanical Remaining Useful Life Prediction

Remaining useful life prediction is one of the essential processes for machine system prognostics and health management. Although there are many new approaches based on deep learning for remaining useful life prediction emerging in recent years, these methods still have the following weaknesses: (1)...

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Bibliographic Details
Main Authors: Yan Liu, Zhenzhen Liu, Hongfu Zuo, Heng Jiang, Pengtao Li, Xin Li
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Sensors
Subjects:
remaining useful life prediction
data mining
kernel principal component analysis
maximal information coefficient
long short-term memory
deep learning
Online Access:https://www.mdpi.com/1424-8220/22/15/5680

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https://www.mdpi.com/1424-8220/22/15/5680

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