A novel feature extraction method using deep neural network for rolling bearing fault diagnosis

• Published in: The 27th Chinese Control and Decision Conference (2015 CCDC) pp. 2427 - 2431
• Main Authors: Weining Lu, Xueqian Wang, Chunchun Yang, Tao Zhang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2015
• Subjects: Artificial neural networks; Data mining; Deep Neural Network; Fault diagnosis; Feature extraction; Rolling bearings; Training

Rolling bearing fault diagnosis has received much attention because of its importance for the rotatory machinery. Feature extraction is the crucial part of rolling bearing fault diagnosis, which determines the diagnosis performance greatly. However, features extracted by many available methods canno...