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Volume 43 Issue 1
Feb.  2023
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Article Navigation >  Diamond & Abrasives Engineering  > 2023  >  43(1): 96-101
YUAN Juntao, ZHAO Ligang, QIN Qi, WANG Tianxu, LIU Zhiqiang. Wear monitoring of diamond saw wire based on YOLOv5 and DeepSORT[J]. Diamond & Abrasives Engineering, 2023, 43(1): 96-101. doi: 10.13394/j.cnki.jgszz.2022.0065
Citation: YUAN Juntao, ZHAO Ligang, QIN Qi, WANG Tianxu, LIU Zhiqiang. Wear monitoring of diamond saw wire based on YOLOv5 and DeepSORT[J]. Diamond & Abrasives Engineering, 2023, 43(1): 96-101. doi: 10.13394/j.cnki.jgszz.2022.0065
shu

Wear monitoring of diamond saw wire based on YOLOv5 and DeepSORT

doi: 10.13394/j.cnki.jgszz.2022.0065
  • 1.

    School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, Jiangsu, China

  • 2.

    Jiangsu Provincial Key Laboratory of Advanced Manufacturing for Marine Mechanical Equipment, Jiangsu University of Science and Technology, Zhenjiang 212003, Jiangsu, China

More Information
  • Received Date: 2022-05-05
  • Accepted Date: 2022-08-12
  • Rev Recd Date: 2022-08-05
    • Available Online: 2023-01-04
    Abstract

  • In order to improve the efficiency and quality of diamond wire saw cutting and meet the demand of real-time monitoring of saw wire wear, a detection algorithm based on improved YOLOv5 was proposed. The algorithm combined coordinate attention mechanism and BiFPN module on the basis of YOLOv5. The detection accuracy, recall rate and average accuracy were increased by 1.7%, 3.7% and 3.2% respectively. Abrasive particles with different wear degrees can be effectively detected. Besides, the DeepSORT multi-target tracking algorithm was connected to set up a virtual detection line, count the number of abrasive particles with different wear degrees, and monitor the wear of diamond saw wire.

     

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