Rolling bearings fault diagnosis based on two-stage signal fusion and deep multi-scale multi-sensor network

• Main Authors: Pan, Zuozhou, Guan, Yang, Fan, Fengjie, Zheng, Yuanjin, Lin, Zhiping, Meng, Zong
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Rolling bearings; Fault diagnosis
• Online Access: https://hdl.handle.net/10356/181054
• Institution: Nanyang Technological University

In order to realize high-precision diagnosis of bearings faults in a multi-sensor detection environment, a fault diagnosis method based on two-stage signal fusion and deep multi-scale multi-sensor networks is proposed. Firstly, the signals are decomposed and fused using weighted empirical wavelet tr...