Fault diagnosis of rolling bearing of wind turbines based on the Variational Mode Decomposition and Deep Convolutional Neural Networks

• Published in: Applied soft computing Vol. 95; p. 106515
• Main Authors: Xu, Zifei, Li, Chun, Yang, Yang
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.10.2020
• Subjects: Convolutional Neural Networks; Deep learning; Fault diagnosis; Rolling bearing; VariationaL Mode Decomposition; Deep learning; Fault diagnosis; VariationaL Mode Decomposition; Convolutional Neural Networks; Rolling bearing

Machine learning techniques have been successfully applied in intelligent fault diagnosis of rolling bearings in recent years. However, in the real world industrial application, the dissimilarity of data due to changes in the working conditions and data acquisition environment often cause a poor per...