Adaptive blind deconvolution decomposition and its application in composite fault diagnosis of rolling bearings

Abstract The detection of rolling bearing faults is essential to ensure the operational safety of rotating machinery. An effective method for diagnosing rolling bearing faults is the maximum second-order cyclostationarity blind deconvolution (CYCBD) method, which has the ability to extract weak faul...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Wei Dong, Bin Feng, Yulun Liu, Shuqing Zhang
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-04-01
Subjects:	Adaptive pattern decomposition Blind Deconvolution Feature extraction Wind turbine bearing Compound fault diagnosis
Online Access:	https://doi.org/10.1038/s41598-025-99913-w