Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks

Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks

In modern manufacturing systems and industries, more and more research efforts have been made in developing effective machine health monitoring systems. Among various machine health monitoring approaches, data-driven methods are gaining in popularity due to the development of advanced sensing and da...

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Bibliographic Details
Main Authors: Rui Zhao, Ruqiang Yan, Jinjiang Wang, Kezhi Mao
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Sensors
Subjects:
machine health monitoring
tool wear prediction
convolutional neural network
recurrent neural network
bi-directional long-short term memory network
Online Access:http://www.mdpi.com/1424-8220/17/2/273

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http://www.mdpi.com/1424-8220/17/2/273

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