Conditional contrastive domain generalization for fault diagnosis

• Main Authors: Ragab, Mohamed, Chen, Zhenghua, Zhang, Wenyu, Eldele, Emadeldeen, Wu, Min, Kwoh, Chee Keong, Li, Xiaoli
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Contrasting Learning; Domain Generalization
• Online Access: https://hdl.handle.net/10356/163780
• Institution: Nanyang Technological University

Data-driven fault diagnosis plays a key role in stability and reliability of operations in modern industries. Recently, deep learning has achieved remarkable performance in fault classification tasks. However, in reality, the model can be deployed under highly varying working environments. As a resu...