Rotor fault texture feature extraction method based on SVD order analysis of synchrosqueezing transform time-frequency graph-Reference-Cited by-同舟云学术

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Rotor fault texture feature extraction method based on SVD order analysis of synchrosqueezing transform time-frequency graph

Published:2024-05-22 Issue: Volume:253 Page:91
ISSN:
Container-title:Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023)
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Author:

Zhao Zhenmin,Li Jianghong,Cui Jiahang,Wang Jiakai,Cai Feichao

Publisher

SPIE

Reference14 articles.

1. Vibration signal analysis and feature extraction based on re-assigned wavelet scalogram[J];PENG,2002

2. Intelligent fault diagnosis method for rolling bearings based on Time-frequency graph and visual Transformer [J/OL];Meng,2023

3. A real-time fault diagnosis method for rolling bearings combining CWT and LightweightNet[J];Feilong;Journal of Intelligent Systems,2023

4. Local time-reassigned synchrosqueezing transform and its application in bearing fault characteristic extraction

5. Journal of Vibroengineering

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