A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network Structures

• Published in: Sensors (Basel, Switzerland) Vol. 20; no. 17; p. 4965
• Main Authors: Xiong, Shoucong, Zhou, Hongdi, He, Shuai, Zhang, Leilei, Xia, Qi, Xuan, Jianping, Shi, Tielin
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI 02.09.2020; MDPI AG
• Subjects: bearing; convolutional neural network; deep learning; fault diagnosis; sensor signal; wavelet packet transform; deep learning; fault diagnosis; wavelet packet transform; sensor signal; bearing; convolutional neural network

Accidental failures of rotating machinery components such as rolling bearings may trigger the sudden breakdown of the whole manufacturing system, thus, fault diagnosis is vital in industry to avoid these massive economical costs and casualties. Since convolutional neural networks (CNN) are poor in e...