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Multi-Object Detection Algorithm in Wind Turbine Nacelles Based on Improved YOLOX-Nano

Author

Listed:
  • Chunsheng Hu

    (School of Mechanical Engineering, Ningxia University, Yinchuan 750000, China
    School of Advanced Interdisciplinary Studites, Ningxia University, Zhongwei 755000, China)

  • Yong Zhao

    (School of Mechanical Engineering, Ningxia University, Yinchuan 750000, China)

  • Fangjuan Cheng

    (School of Mechanical Engineering, Ningxia University, Yinchuan 750000, China)

  • Zhiping Li

    (School of Mechanical Engineering, Ningxia University, Yinchuan 750000, China)

Abstract

With more and more wind turbines coming into operation, inspecting wind farms has become a challenging task. Currently, the inspection robot has been applied to inspect some essential parts of the wind turbine nacelle. The detection of multiple objects in the wind turbine nacelle is a prerequisite for the condition monitoring of some essential parts of the nacelle by the inspection robot. In this paper, we improve the original YOLOX-Nano model base on the short monitoring time of the inspected object by the inspection robot and the slow inference speed of the original YOLOX-Nano. The accuracy and inference speed of the improved YOLOX-Nano model are enhanced, and especially, the inference speed of the model is improved by 72.8%, and it performs better than other lightweight network models on embedded devices. The improved YOLOX-Nano greatly satisfies the need for a high-precision, low-latency algorithm for multi-object detection in wind turbine nacelle.

Suggested Citation

  • Chunsheng Hu & Yong Zhao & Fangjuan Cheng & Zhiping Li, 2023. "Multi-Object Detection Algorithm in Wind Turbine Nacelles Based on Improved YOLOX-Nano," Energies, MDPI, vol. 16(3), pages 1-13, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1082-:d:1040385
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    References listed on IDEAS

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    1. Wenjie Wang & Yu Xue & Chengkuan He & Yongnian Zhao, 2022. "Review of the Typical Damage and Damage-Detection Methods of Large Wind Turbine Blades," Energies, MDPI, vol. 15(15), pages 1-31, August.
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