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

• Main Authors: Zhao, Rui, Yan, Ruqiang, Wang, Jinjiang, Mao, Kezhi
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: Machine Health Monitoring; Tool Wear Prediction
• Online Access: https://hdl.handle.net/10356/87246; http://hdl.handle.net/10220/44339
• Institution: Nanyang Technological University

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...