Research on bearing fault feature extraction method based on wavelet packet algorithm

Wenjing Xuan; Yanyan Ding

doi:10.1117/12.3011561

7 December 2023 Research on bearing fault feature extraction method based on wavelet packet algorithm

Wenjing Xuan, Yanyan Ding

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129410R (2023) https://doi.org/10.1117/12.3011561
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

This paper aims to research the feature extraction method for bearing faults based on the wavelet packet algorithm. Rolling bearings, as crucial components of rotating machinery, play a vital role in diagnosing faults to enhance the reliability of such machinery. With the development of artificial intelligence technology, the wavelet packet algorithm has gradually demonstrated its significance in industrial production. In this study, the wavelet packet algorithm is applied to extract features from bearing fault signals, and different types of fault signals (such as inner race faults, rolling element faults, and outer race faults) are analyzed in detail. By extracting energy values, significant changes in energy spectra between normal and abnormal signals can be effectively identified. This wavelet packet energy spectrum-based bearing fault detection method overcomes the limitations of single singular point for bearing fault detection and validates the effectiveness of wavelet packet energy spectrum as a feature to distinguish normal signals from fault signals. The obtained feature values also provide beneficial data analysis basis for further fault detection, offering practical significance and application value in bearing fault prediction and maintenance.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wenjing Xuan and Yanyan Ding "Research on bearing fault feature extraction method based on wavelet packet algorithm", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129410R (7 December 2023); https://doi.org/10.1117/12.3011561

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