Experimental Investigation of Discharge Path Selectivity of a Long Air Gap Containing a Floating Conductor

Xie, Chenggang; Wang, Linong; Gao, Jiachen; Peng, Yong; Wu, Shaocheng; Wu, Shuchuang; Wang, Wenyu; Liu, Jianben; Liu, Yan

doi:10.1109/temc.2022.3176684

Cited by 7 publications

(2 citation statements)

References 18 publications

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“…By utilizing digital twins, it becomes easier to assess the clearance distance between trees and conductors within a specific area and even identify potential tree-related hazards as the vegetation grows or under different weather conditions in the power corridor [14]. Similarly, during live-line work, the distance between workers and transmission lines or towers has a significant impact on worker safety [15,16]. By reconstructing a digital twin of specific corridors, including the lines and towers, it becomes possible to simulate live-line work and mitigate safety hazards in real-world projects.…”

Section: Introductionmentioning

confidence: 99%

Semantic Segmentation of Transmission Corridor 3D Point Clouds Based on CA-PointNet++

Wang

et al. 2023

Electronics

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Automated extraction of key points from three-dimensional (3D) point clouds in transmission corridors provides technical support for digital twin construction and risk management of the power grid. However, accurately and efficiently segmenting the point clouds of transmission corridors remains a challenging problem. Traditional segmentation methods for transmission corridors suffer from low accuracy and poor generalization ability, and the potential of deep learning in this field has been overlooked. Therefore, the PointNet++ deep learning model is employed as the backbone network for the segmentation of 3D point clouds in transmission corridors. Additionally, given the distinct distribution of key components, an end-to-end CA-PointNet++ architecture is proposed by integrating the Coordinate Attention (CA) module with PointNet++. This approach captures long-distance spatial contextual features and improves feature saliency for more precise segmentation. Furthermore, CA-PointNet++ is evaluated on a dataset of 3D point clouds collected by unmanned aerial vehicles (UAV) equipped with Light Detection and Ranging (LiDAR) for inspecting transmission corridors. The results show that CA-PointNet++ achieved 93.7% overall accuracy (OA) and 67.4% mean Intersection over Union (mIoU). Comparative studies with established deep learning models confirm that our proposed CA-PointNet++ exhibits high accuracy and strong generalization ability for point cloud segmentation tasks in transmission corridors.

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Section: Introductionmentioning

confidence: 99%

Semantic Segmentation of Transmission Corridor 3D Point Clouds Based on CA-PointNet++

Wang

et al. 2023

Electronics

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“…The main factors affecting the discharge are atmospheric conditions, voltage waveform, and gap structure [15]. At present, scholars around the world have conducted a lot of research [16][17][18], summarised the air gap discharge rules under specific conditions, and provided the corresponding correction methods [19,20]. The rod-plane gap discharge based on streamer theory has universal significance for studying the discharge characteristics of the extremely non-uniform electric field.…”

Section: Introductionmentioning

confidence: 99%

High‐altitude tunnel‐catenary gap impulse discharge characteristics and breakdown voltage correction

et al. 2023

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Air gap impulse discharge characteristics of railway tunnel‐catenary at high‐altitude are of great significance to the electrical insulation design. The existing altitude correction methods for non‐uniform air gaps are not applicable to tunnel‐catenary. To investigate the impulse discharge characteristics of the tunnel‐catenary, a typical structural model was built in an artificial climate chamber. Different altitudes were simulated by adjusting the atmospheric pressure. The 50% breakdown voltages of the 300–700 mm tunnel‐catenary gap were tested at 243–4000 m. The test found that the altitude/atmospheric pressure and gap length have an evident effect on the 50% impulse breakdown voltage, and the influence of humidity is relatively small. The polarity effect was analysed by streamer theory. The {d, P, h} parameter method was employed to obtain the fitting formulas for the impulse breakdown voltage. A high‐altitude correction method for the tunnel‐catenary breakdown voltage based on 1 km altitude was proposed. Field natural tests were conducted to verify the accuracy of the proposed method. The results show that the breakdown voltage obtained by the correction method has an average error of 3.66% in the results of the field tests, indicating that the method has engineering application prospects.

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Analysis and comparison of streamer discharge characteristics in equipotential live-line work gap and its simplified gaps under positive switching impulse

Fang,

Zeng,

Yang

et al. 2024

Journal of Electrostatics

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Experimental Investigation of Discharge Path Selectivity of a Long Air Gap Containing a Floating Conductor

Cited by 7 publications

References 18 publications

Semantic Segmentation of Transmission Corridor 3D Point Clouds Based on CA-PointNet++

Semantic Segmentation of Transmission Corridor 3D Point Clouds Based on CA-PointNet++

High‐altitude tunnel‐catenary gap impulse discharge characteristics and breakdown voltage correction

Analysis and comparison of streamer discharge characteristics in equipotential live-line work gap and its simplified gaps under positive switching impulse

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