A Multi-scale Attention-Based Transfer Model for Cross-bearing Fault Diagnosis

A Multi-scale Attention-Based Transfer Model for Cross-bearing Fault Diagnosis

Abstract Bearings are key components of mechanical equipment, and fault diagnosis is a necessary and important measure to ensure bearing safety. Driven by industrial big data and deep learning (DL), intelligent fault diagnosis (IFD) has made great progress in recent years. However, most of the exist...

Full description

Bibliographic Details
Main Author: Puda Li
Format: Article
Language:English
Published: Springer 2024-03-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Fault diagnosis
Multi-scale network
Attention mechanism
Cross-bearing
Deep transfer learning
Online Access:https://doi.org/10.1007/s44196-024-00414-x

Internet

https://doi.org/10.1007/s44196-024-00414-x

Similar Items