Deep neural networks-based rolling bearing fault diagnosis

• Published in: Microelectronics and reliability Vol. 75; pp. 327 - 333
• Main Authors: Chen, Zhiqiang, Deng, Shengcai, Chen, Xudong, Li, Chuan, Sanchez, René-Vinicio, Qin, Huafeng
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.08.2017
• Subjects: Deep Belief Networks; Deep Boltzmann Machines; Fault diagnosis; Rolling bearing; Stacked Auto-Encoders; Fault diagnosis; Stacked Auto-Encoders; Deep Belief Networks; Rolling bearing; Deep Boltzmann Machines

Rolling bearing is one of the most commonly used components in rotating machinery. It's so easy to be damaged that it can cause mechanical fault. Thus, it is significant to study fault diagnosis technology on rolling bearing. In this paper, three deep neural network models (Deep Boltzmann Machi...