Bearing fault diagnosis based on symmetrical polar coordinates and gray level co-occurrence matrix algorithm

Haozhe Ling; Bin Jiao; Binbin Li; Ruiyao Guo; Long Qian

doi:10.1117/12.2644564

10 November 2022 Bearing fault diagnosis based on symmetrical polar coordinates and gray level co-occurrence matrix algorithm

Haozhe Ling, Bin Jiao, Binbin Li, Ruiyao Guo, Long Qian

Author Affiliations +

Proceedings Volume 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022); 123011Y (2022) https://doi.org/10.1117/12.2644564
Event: 6th International Conference on Mechatronics and Intelligent Robotics, 2022, Kunming, China

Abstract

With the development of machine vision and various image generation algorithms, various physical signals can be transformed into corresponding visual images, and valuable information can be obtained by analyzing and processing the visual images. In view of the instability of bearing vibration signal and the development trend of on-line detection of fault diagnosis, this paper proposes a bearing fault diagnosis method based on symmetrical polar coordinates and gray level co-occurrence image processing algorithm. When applied to the diagnosis of bearing wear fault, it can maintain a better diagnosis effect under the instability of bearing vibration signal, which is more intuitive and faster, which is conducive to on-line fault diagnosis.

Citation Download Citation

Haozhe Ling, Bin Jiao, Binbin Li, Ruiyao Guo, and Long Qian "Bearing fault diagnosis based on symmetrical polar coordinates and gray level co-occurrence matrix algorithm", Proc. SPIE 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022), 123011Y (10 November 2022); https://doi.org/10.1117/12.2644564

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