Rolling Bearing Fault Diagnosis Based on Fractional Constant Q Non-Stationary Gabor Transform and VMamba-Conv

Rolling bearings are prone to failure, meaning that research on intelligent fault diagnosis is crucial in relation to this key transmission component in rotating machinery. The application of deep learning (DL) has significantly advanced the development of intelligent fault diagnosis. This paper pro...

詳細記述

書誌詳細

出版年:	Fractal and Fractional
主要な著者:	Fengyun Xie, Chengjie Song, Yang Wang, Minghua Song, Shengtong Zhou, Yuanwei Xie
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2025-08-01
主題:	rolling bearing fault diagnosis FCQ-NSGT SimAX VMamba-Conv
オンライン･アクセス:	https://www.mdpi.com/2504-3110/9/8/515