Conditional contrastive domain generalization for fault diagnosis

• المؤلفون الرئيسيون: Ragab, Mohamed, Chen, Zhenghua, Zhang, Wenyu, Eldele, Emadeldeen, Wu, Min, Kwoh, Chee Keong, Li, Xiaoli
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Computer science and engineering; Contrasting Learning; Domain Generalization
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/163780
• المؤسسة: 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...