Rolling Bearing Fault Diagnosis Based on SABO–VMD and WMH–KNN

To improve the performance of roller bearing fault diagnosis, this paper proposes an algorithm based on subtraction average-based optimizer (SABO), variational mode decomposition (VMD), and weighted Manhattan-K nearest neighbor (WMH–KNN). Initially, the SABO algorithm uses a composite objective func...

Full description

Bibliographic Details

Published in:	Sensors
Main Authors:	Guangxing Liu, Yihao Ma, Na Wang
Format:	Article
Language:	English
Published:	MDPI AG 2024-08-01
Subjects:	bearing fault diagnosis variational mode decomposition (VMD) WMH-K nearest neighbor (KNN) subtraction average-based optimizer (SABO)
Online Access:	https://www.mdpi.com/1424-8220/24/15/5003