A Fast Multi-tasking Solution: NMF-Theoretic Co-clustering for Gear Fault Diagnosis under Variable Working Conditions

A Fast Multi-tasking Solution: NMF-Theoretic Co-clustering for Gear Fault Diagnosis under Variable Working Conditions

Abstract Most gear fault diagnosis (GFD) approaches suffer from inefficiency when facing with multiple varying working conditions at the same time. In this paper, a non-negative matrix factorization (NMF)-theoretic co-clustering strategy is proposed specially to classify more than one task at the sa...

Full description

Bibliographic Details
Main Authors: Fei Shen, Chao Chen, Jiawen Xu, Ruqiang Yan
Format: Article
Language:English
Published: SpringerOpen 2020-02-01
Series:Chinese Journal of Mechanical Engineering
Subjects:
Gear fault diagnosis
Non-negative matrix factorization
Co-clustering
Varying working conditions
Online Access:http://link.springer.com/article/10.1186/s10033-020-00437-3

Internet

http://link.springer.com/article/10.1186/s10033-020-00437-3

Similar Items