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...
Main Authors: | Zhao, Rui, Yan, Ruqiang, Wang, Jinjiang, Mao, Kezhi |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2018
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/87246 http://hdl.handle.net/10220/44339 |
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