Bearing fault diagnosis method based on improved compressed sensing and deep multi-kernel extreme learning machine

Bearing fault diagnosis method based on improved compressed sensing and deep multi-kernel extreme learning machine

Show other versions (1)

In response to challenges such as large sampling data, extended diagnosis time, and subjective fault feature selection in traditional bearing fault diagnosis, based on compressed sensing (CS) and deep multi-kernel extreme learning machine (D-MKELM) theory, a CS-DMKELM intelligent diagnosis model for...

Full description

Saved in:
Bibliographic Details
Main Authors: FU Qiang, HU Dong, YANG Tongliang, LUO Guoqing, TAN Weimin
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2025-06-01
Series:Jixie qiangdu
Subjects:
Compressed sensing
Bearing
Kernel function
Extreme learning machine
Fault diagnosis
Online Access:http://www.jxqd.net.cn/thesisDetails#DOI：10.16579/j.issn.1001.9669.2025.06.006
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.jxqd.net.cn/thesisDetails#DOI：10.16579/j.issn.1001.9669.2025.06.006

Similar Items