Infrared Technology, Volume. 46, Issue 11, 1308(2024)

Defect Detection Method for Hydropower Station Equipment Based on Infrared Temperature Measurement Data

Kun ZHOU1, Junxin GUO1, Jie LUO1, Yunhong LI2、*, Limin LI2, Xueping SU2, and Lele HOU2
Author Affiliations
  • 1CHN Energy Xinjiang Jilintai Hydropower Development Co., Ltd., Yili 835000, China
  • 2School of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, China
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    References(11)

    [4] [4] CHENG Y, XIA L, YAN B, et al. A defect detection method based on faster RCNN for power equipment[C]//Journal of Physics: Conference Series. IOP Publishing, 2021, 1754(1): 012025.

    [5] [5] WANG K, REN F, KANG X, et al. Thermal defect detection and location for power equipment based on improved VGG16[C]//IEEE International Conference on Agents (ICA), 2021: 41-46.

    [6] [6] CHEN X, AN Z, HUANG L, et al. Surface defect detection of electric power equipment in substation based on improved YOLOv4 algorithm[C]//10th International Conference on Power and Energy Systems (ICPES), 2020: 256-261.

    [7] [7] WANG C Y, Bochkovskiy A, Liao H Y M. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023: 7464-7475.

    [8] [8] Nooralishahi P, Rezayiye R K, Lpez F, et al. PHM-IRNET: Self-training thermal segmentation approach for thermographic inspection of industrial components[J]. NDT & E International, 2023, 138: 102884.

    [9] [9] RUAN L, GAO B, WU S, et al. DeftectNet: Joint loss structured deep adversarial network for thermography defect detecting system[J]. Neurocomputing, 2020, 417: 441-457.

    [10] [10] WANG H, HOU Y, HE Y, et al. A physical-constrained decomposition method of infrared thermography: pseudo restored heat flux approach based on ensemble bayesian variance tensor fraction[J]. IEEE Transactions on Industrial Informatics, 2023, 20(3): 3413-3424.

    [11] [11] YU J, HE Y, LIU H, et al. An improved U-Net model for infrared image segmentation of wind turbine blade[J]. IEEE Sensors Journal, 2022, 23(2): 1318-1327.

    [15] [15] YAO J, QI J, ZHANG J, et al. A real-time detection algorithm for Kiwifruit defects based on YOLOv5[J]. Electronics, 2021, 10(14): 1711.

    [17] [17] Srinivas A, Lin T Y, Parmar N, et al. Bottleneck transformers for visual recognition[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021: 16519-16529.

    [19] [19] Willman J. Modern PyQt[M]. Berkeley: Apress, 2021: 1-42.

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    ZHOU Kun, GUO Junxin, LUO Jie, LI Yunhong, LI Limin, SU Xueping, HOU Lele. Defect Detection Method for Hydropower Station Equipment Based on Infrared Temperature Measurement Data[J]. Infrared Technology, 2024, 46(11): 1308

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    Paper Information

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    Received: Nov. 2, 2023

    Accepted: Jan. 10, 2025

    Published Online: Jan. 10, 2025

    The Author Email: Yunhong LI (hitliyunhong@163.com)

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