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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Autores principales:	Chengying Zhao, Xianzhen Huang, Yuxiong Li, Muhammad Yousaf Iqbal
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2020-12-01
Colección:	Sensors
Materias:	RUL prediction double-channel hybrid model convolution neural network bidirectional long short-term memory network
Acceso en línea:	https://www.mdpi.com/1424-8220/20/24/7109
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