Convolution and Long Short-Term Memory Hybrid Deep Neural Networks for Remaining Useful Life Prognostics

Convolution and Long Short-Term Memory Hybrid Deep Neural Networks for Remaining Useful Life Prognostics

Reliable prediction of remaining useful life (RUL) plays an indispensable role in prognostics and health management (PHM) by reason of the increasing safety requirements of industrial equipment. Meanwhile, data-driven methods in RUL prognostics have attracted widespread interest. Deep learning as a...

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Bibliographic Details
Main Authors: Zhengmin Kong, Yande Cui, Zhou Xia, He Lv
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Applied Sciences
Subjects:
remaining useful life prognostics
convolutional neural network
long short-term memory
health indicator
time series
data-driven
Online Access:https://www.mdpi.com/2076-3417/9/19/4156

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https://www.mdpi.com/2076-3417/9/19/4156

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