The Method of Rolling Bearing Fault Diagnosis Based on Multi-Domain Supervised Learning of Convolution Neural Network

The Method of Rolling Bearing Fault Diagnosis Based on Multi-Domain Supervised Learning of Convolution Neural Network

The rolling bearing is a critical part of rotating machinery and its condition determines the performance of industrial equipment; it is necessary to detect rolling bearing faults as early as possible. The traditional methods of fault diagnosis are not efficient and are time-consuming. With the help...

Full description

Bibliographic Details
Main Authors: Xuejun Liu, Wei Sun, Hongkun Li, Zeeshan Hussain, Aiqiang Liu
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Energies
Subjects:
rolling bearing
fault diagnosis
convolution neural network
multi-domain supervised learning
Online Access:https://www.mdpi.com/1996-1073/15/13/4614

Internet

https://www.mdpi.com/1996-1073/15/13/4614

Similar Items