A Hybrid Prognostics Deep Learning Model for Remaining Useful Life Prediction

A Hybrid Prognostics Deep Learning Model for Remaining Useful Life Prediction

Remaining Useful Life (RUL) prediction is significant in indicating the health status of the sophisticated equipment, and it requires historical data because of its complexity. The number and complexity of such environmental parameters as vibration and temperature can cause non-linear states of data...

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Bibliographic Details
Main Authors: Zhiyuan Xie, Shichang Du, Jun Lv, Yafei Deng, Shiyao Jia
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Electronics
Subjects:
Remaining Useful Life (RUL) prediction
deep learning
recurrent neural network (RNN)
equipment maintenance
Online Access:https://www.mdpi.com/2079-9292/10/1/39

Internet

https://www.mdpi.com/2079-9292/10/1/39

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