Weak fault diagnosis method for rolling bearings under strong background noise based on EEMD-FK-AMCKD

Weak fault diagnosis method for rolling bearings under strong background noise based on EEMD-FK-AMCKD

ObjectiveTo address the challenge of accurately capturing weak features in vibration signals under strong noise interference, a joint filtering method combining ensemble empirical mode decomposition (EEMD), fast kurtogram (FK), and adaptive maximum correlation kurtosis deconvolution (AMCKD) was prop...

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Bibliographic Details
Main Authors: XIE Guizhong, XU Shuaiqiang, DU Wenliao, LUO Shuangqiang, LI Hao, WANG Liangwen, GONG Xiaoyun
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2025-08-01
Series:Jixie chuandong
Subjects:
Rolling bearing
Maximum correlation deconvolution
Feature enhancement
Fast kurtogram
Online Access:http://www.jxcd.net.cn/thesisDetails#DOI：10.16578/j.issn.1004.2539.2025.08.019
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