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

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

doi:10.1117/12.3029108

22 May 2024 Rotor fault texture feature extraction method based on SVD order analysis of synchrosqueezing transform time-frequency graph

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

Author Affiliations +

Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 131760Z (2024) https://doi.org/10.1117/12.3029108
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China

Abstract

On the basis of the synchrosqueezing transform time-frequency analysis method, the rotor fault texture feature extraction method based on the SVD order analysis of synchrosqueezing transform time-frequency graph, Which uses the synchrosqueezing transform to aggregate the energy of the short-time Fourier time-frequency graph, and then uses the SVD order analysis method to analyze the separability of the fault texture features of the synchrosqueezing transform time-frequency graph. Through the above method, the energy aggregation and noise suppression effect of synchrosqueezing transform time-frequency graph are remarkable. This method has been verified by the gas turbine model rotor fault simulation test bench, and has a high fault detection rate. Compared with time-frequency analysis fault diagnosis methods such as short-time Fourier transform, continuous wavelet transform, synchrosqueezing transform and Wigner-Ville distribution, the rotor fault texture feature extraction method based on SVD order analysis of synchrosqueezing transform time-frequency graph shows the best performance in fault detection rate and stability.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhenmin Zhao, Jianghong Li, Jiahang Cui, Jiakai Wang, and Feichao Cai "Rotor fault texture feature extraction method based on SVD order analysis of synchrosqueezing transform time-frequency graph", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 131760Z (22 May 2024); https://doi.org/10.1117/12.3029108

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