A universal transfer network for machinery fault diagnosis

• Main Authors: Yu, Xiaolei, Zhao, Zhibin, Zhang, Xingwu, Tian, Shaohua, Kwoh, Chee Keong, Li, Xiaoli, Chen, Xuefeng
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Universal Transfer Network; Universal Domain Adaptation
• Online Access: https://hdl.handle.net/10356/172198
• Institution: Nanyang Technological University

Domain adaptation (DA) methods have achieved promising results in machinery fault diagnosis owing to their ability to mitigate the distribution discrepancy between domains. However, existing fault diagnosis methods based on DA are tailored for a specific setting, and highly rely on prior knowledge a...