Influence of Pollution Degree and Humidity on Surface Discharge Characteristics of Insulators

Liu, Yunpeng; Liu, Jiashuo; Lai, Ting-Yu; Li, Yonglin; Yang, Jiajun; Pei, Shaotong

doi:10.1109/aeees51875.2021.9403084

Cited by 9 publications

(3 citation statements)

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“…Most of the methods of traditional inspection count on manual inspection, which results in a huge workload. In addition, the method of artificial inspection also has the shortcomings of long time, high labor costs, high work risk and low efficiency 2 . With the rapid progress of computer vision technology and UAV technology, in recent years it has become one of the mainstream development trends to replace manual inspection with UAV aerial images and intelligent identification and positioning algorithms 3 .…”

Section: Introductionmentioning

confidence: 99%

Research on defect recognition method of transmission line insulators

zhu,

zeng

2023

Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023)

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For the detect recognition of transmission line insulators, there are some problems for the traditional fault recognition algorithms, such as false detection, omission of detection, low and slow recognition rate. Compared with the traditional convolutional neural networks, vector is used by the capsule network as the input. Each sub-structure of the capsule makes the details highly fidelity in the original graph, which can effectively identify the defective insulator image. Therefore, a detect recognition method based on improved capsule network and YOLO-V5 is proposed in this paper. Experimental results demonstrate that the algorithm performs well and meets the requirements for inspecting insulators.

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Section: Introductionmentioning

confidence: 99%

Research on defect recognition method of transmission line insulators

zhu,

zeng

2023

Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023)

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“…However, the time overhead needed by this network to detect a single image is about 539 ms, and the speed cannot meet the requirements of real-time applications. LIU et al [14] used support vector machines to identify the state of fouled porcelain insulators in the input image in order to accurately detect the state of fouled insulators, though the recognition was not effective for images with complex backgrounds.…”

Section: Introductionmentioning

confidence: 99%

PHAM-YOLO: A Parallel Hybrid Attention Mechanism Network for Defect Detection of Meter in Substation

Dong

Yuan

Wang

et al. 2023

Sensors

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Accurate detection and timely treatment of component defects in substations is an important measure to ensure the safe operation of power systems. In this study, taking substation meters as an example, a dataset of common meter defects, such as a fuzzy or damaged dial on the meter and broken meter housing, is constructed from the images of manual inspection in power systems. There are several challenges involved in accurately detecting defects in substation meter images, such as the complex background, different meter sizes and large differences in the shapes of meter defects. Therefore, this paper proposes the PHAM-YOLO (Parallel Hybrid Attention Mechanism You Only Look Once) network for automatic detection of substation meter defects. In order to make the network pay attention to the key areas against the complex background of the meter defect images and the differences between different defect features, a Parallel Hybrid Attention Mechanism (PHAM) module is designed and added to the backbone of YOLOv5. PHAM integration of local and non-local correlation information can highlight these differences while remaining focused on the meter defect features. To improve the expressive ability of the feature map, a Spatial Pyramid Pooling Fast (SPPF) module is introduced, which pools the input feature map using a continuous fixed convolution kernel, fusing the feature maps of different receptive fields. Bounding box regression (BBR) is the key way to determine object positioning performance in defect detection. EIOU (Efficient Intersection over Union) is, therefore, introduced as a boundary loss function to solve the ambiguity of the CIOU (Complete Intersection Over Union) loss function, making the BBR regression more accurate. The experimental results show that the Average Precision Mean (mAP), Precision (P) and Recall (R) of the proposed PHAM-YOLO network in the dataset are 78.3%, 78.3%, and 79.9%, respectively, with mAP being improved by 2.7% compared to the original model and higher than SSD, Fast R-CNN, etc.

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“…Generally, high-voltage transmission lines exposed in air are prone to not only suffer local damage or scratches, but to also be polluted by natural salts, dust, and bird droppings [4,5]. Moreover, corona discharge and audible noise will occur under humid or rainy conditions [6][7][8]. Corona discharge is the ionization phenomenon of the air around the wires under the action of a strong electric field.…”

Section: Introductionmentioning

confidence: 99%

Superhydrophobic and Thermally Conductive Coating for Restraining Corona Loss and Audible Noise of High-Voltage Transmission Lines

Li,

Xu,

Wang

et al. 2023

Coatings

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In recent years, the number of high-voltage transmission lines has sharply increased with the rapid development of modern industry. However, a corona discharge phenomenon often occurs on the exposed high-voltage transmission lines, leading to energy loss and noise pollution. Herein, we have proposed a facile spraying method to prepare a superhydrophobic and thermally conductive coating to restrain the corona discharge phenomenon of high-voltage transmission lines, with vinyl silicone oil and hydrogen silicone oil as the main materials and modified boron nitride (BN) as a thermal conductive filler. The obtained composite coating exhibited superhydrophobicity, with a high water contact angle of 162°. In addition, the coating also showed a good self-cleaning capability, non-adhesion capability, mechanical stability, and chemical stability. Owing to the construction of the thermally conductive pathways with BN, the thermal conductivity of the coating reached 1.05 W/m·K, which was beneficial to quickly dissipating the heat generated by the current heating effect. Moreover, the corona losses of the positive and negative electrodes under simulated rainy conditions were decreased by 7.43% and 8.05%, respectively. The findings of our work have provided a new strategy to effectively restrain the corona discharge phenomenon of transmission lines, showing great application potential in the field of high-voltage power networks.

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Influence of Pollution Degree and Humidity on Surface Discharge Characteristics of Insulators

Cited by 9 publications

References 0 publications

Research on defect recognition method of transmission line insulators

Research on defect recognition method of transmission line insulators

PHAM-YOLO: A Parallel Hybrid Attention Mechanism Network for Defect Detection of Meter in Substation

Superhydrophobic and Thermally Conductive Coating for Restraining Corona Loss and Audible Noise of High-Voltage Transmission Lines

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