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Zhendong He, Wenbin Yang, Yanjie Liu, Anping Zheng, Jie Liu, Taishan Lou and Jie Zhang
Ensuring the safety of transmission lines necessitates effective insulator defect detection. Traditional methods often need more efficiency and accuracy, particularly for tiny defects. This paper proposes an innovative insulator defect recognition method...
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Fariha Imam, Petr Musilek and Marek Z. Reformat
Due to aging infrastructure, technical issues, increased demand, and environmental developments, the reliability of power systems is of paramount importance. Utility companies aim to provide uninterrupted and efficient power supply to their customers. To...
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Chen Yi Ngu, Kaito Kozuki, Hinata Oshida, Sang Bin Lee, Raiki Hanazaki, Sayaka Kado, Kazuhiro Kudo and Masatoshi Sakai
Electrophotography is a digital, on-demand, dry, and page printing technique that operates based on toner particles of electronic materials using an electrostatic force and generates an electrical circuit via distribution of the toner particles. We devel...
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Mohammad Sadegh Tale Masoule and Ali Ghahremaninezhad
This study investigates the hydration, microstructure, autogenous shrinkage, electrical resistivity, and mechanical properties of Portland cement pastes modified with PEG-PPG triblock copolymers with varied molecular weights. The early age properties inc...
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Lisang Liu, Chengyang Ke and He Lin
In foggy environments, outdoor insulator detection is always with low visibility and unclear targets. Meanwhile, the scale of haze simulation insulator datasets is insufficient. Aiming to solve these problems, this paper proposes a novel Dark-Center algo...
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Yiming Hu, Bin Wen, Yongsheng Ye and Chao Yang
Insulators find extensive use across diverse facets of power systems, playing a pivotal role in ensuring the security and stability of electrical transmission. Detecting insulators is a fundamental measure to secure the safety and stability of power tran...
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Zhouxian Lu, Yong Li and Feng Shuang
Due to the low efficiency and safety of a manual insulator inspection, research on intelligent insulator inspections has gained wide attention. However, most existing defect recognition methods extract abstract features of the entire image directly by co...
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Byeong Sub Kwak, Taehyun Jeon, Ah-Reum Kim, Eunyoung Kim, Jae-Kon Kim, Youngje Min and Hyunjoo Park
The results of this paper can be instrumental in establishing insulation material management standards for determining the stable operation condition of XLPE cables in the future.
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Yifan Qi, Yongming Li and Anyu Du
Insulators are widely used in various aspects of the power system and play a crucial role in ensuring the safety and stability of power transmission. Insulator detection is an important measure to guarantee the safety and stability of the transmission sy...
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Junpeng Wu and Yibo Zhou
To address the issue of low accuracy in insulator object detection within power systems due to a scarcity of image sample data, this paper proposes a method for identifying insulator objects based on improved few-shot object detection through feature rew...
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