Imbalanced Learning for Fault Diagnosis Problem of Rotating Machinery Based on Generative Adversarial Networks

• Published in: Chinese Control Conference pp. 6017 - 6022
• Main Authors: Xie, Yuan, Zhang, Tao
• Format: Conference Proceeding
• Language: English
• Published: Technical Committee on Control Theory, Chinese Association of Automation 01.07.2018
• Subjects: Data models; Fault diagnosis; Gallium nitride; Generative adversarial networks; Generators; Imbalanced dataset; Training; Vibrations
• ISSN: 1934-1768
• DOI: 10.23919/ChiCC.2018.8483334

Learning from imbalanced datasets has become a significant and challenging problem and gained much attention in machine learning and many aspects. Accumulated historical data collected from the working process of industrial machines are often imbalanced, which means the number of recorded observatio...