A modified transformer based on adaptive frequency enhanced attention, large kernel convolution, and multiscale implementation for bearing fault diagnosis

Abstract Bearing fault diagnosis has attracted increasing attention due to its critical role in monitoring the health of rotating machinery. Data-driven models based on deep learning (DL) have demonstrated strong capabilities in feature extraction. However, their performance often degrades under str...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Xiao Chang, Shaobin Cai, Wanchen Cai, Yuchang Mo, Liansuo Wei
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-09-01
Subjects:	Rolling bearing fault diagnosis Multiscale convolution Adaptive Frequency-Domain attention Noise robustness
Online Access:	https://doi.org/10.1038/s41598-025-18187-4