DBA-GAN: image generation of bolt defects in transmission lines based on different bolt attributes

Ning Wang; Yuheng Zhang; Xing Wen; Shaosen Li; Liuqi Zhao; Zhenlin Huang; Ziyan Feng

doi:10.1117/12.3005152

25 September 2023 DBA-GAN: image generation of bolt defects in transmission lines based on different bolt attributes

Ning Wang, Yuheng Zhang, Xing Wen, Shaosen Li, Liuqi Zhao, Zhenlin Huang, Ziyan Feng

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127885B (2023) https://doi.org/10.1117/12.3005152
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Bolts play an important role in transmission lines, and bolt defects can easily cause abnormality or even failure of transmission lines. However, a large number of bolt defect data are difficult to obtain. Aiming at the problem of bolt defect data with few samples, this paper proposes a method for image generation of bolt defects in transmission lines based on different bolt attributes (DBA-GAN). First, the bolt images are classified according to different attributes, and these categories are used as auxiliary information for Generative Adversarial Network (GAN). Then, DBA-GAN is used to generate bolt images with specified attributes and defects. Finally, the generated bolt images are used to augment the few-shot bolt defect dataset, and the validity is verified on the bolt attribute classification network. The results show that the method in this paper improves the quality of the generated bolt images, and at the same time achieves the purpose of amplifying defective samples.

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

Citation Download Citation

Ning Wang, Yuheng Zhang, Xing Wen, Shaosen Li, Liuqi Zhao, Zhenlin Huang, and Ziyan Feng "DBA-GAN: image generation of bolt defects in transmission lines based on different bolt attributes", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127885B (25 September 2023); https://doi.org/10.1117/12.3005152

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KEYWORDS

Gallium nitride

Image classification

Image quality

Data modeling

Image transmission

Education and training

Data transmission

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