A Double-Channel Hybrid Deep Neural Network Based on CNN and BiLSTM for Remaining Useful Life Prediction

In recent years, prognostic and health management (PHM) has played an important role in industrial engineering. Efficient remaining useful life (RUL) prediction can ensure the development of maintenance strategies and reduce industrial losses. Recently, data-driven based deep learning RUL prediction...

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Bibliografiske detaljer

Principais autores:	Chengying Zhao, Xianzhen Huang, Yuxiong Li, Muhammad Yousaf Iqbal
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2020-12-01
Serier:	Sensors
Fag:	RUL prediction double-channel hybrid model convolution neural network bidirectional long short-term memory network
Online adgang:	https://www.mdpi.com/1424-8220/20/24/7109
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