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Detection of power line insulator

WebThe experiment results show that the proposed method for power lines insulator defect detection with Attention Feedback and Double Spatial Pyramid can achieve Precision of 98.9%, Recall of 99.5%, F1-score of 99.0%, and reaches mAP of 97.1%. In complex background images, the method not only can detect insulator defects, but also identify … WebAutomatic Insulator Detection for Power Line Using Aerial Images Powered by Convolutional Neural Networks. The inspection and fault diagnosis of power transmission …

Insulator defect detection: A detection method of target search …

WebThe method described here details the detection of power line insulators in digital images featuring diversified backgrounds using laser spots. The algorithm of detecting an insulator in analysed images is based on testing the digital signal of pixel intensity profiles read between subsequent pairs of laser points in the image. ... WebAiming at the problem of the missed detection and misjudgment of the original feature extraction network VGG16 of a faster region-convolutional neural network (R-CNN) in the face of insulators of different sizes, in order to improve the accuracy of insulators' detection on power transmission lines, an improved faster R-CNN algorithm is proposed. great-west insurance truck insurance https://ravenmotors.net

Study on Power Line Insulator Defect Detection via Improved …

WebFeb 2, 2024 · Accurate and timely detection of insulator flashover on power transmission lines is of paramount importance to power utilities. Most available solutions mainly focus on the exploitation of the flashover mechanism or the discharge area detection, rather than the identification of a damaged area due to flashovers using captured aerial images. To this … WebMar 22, 2024 · Proper maintenance of the electricity infrastructure requires periodic condition inspections of power line insulators, which can be subjected to various damages such as burns or fractures. The article includes an introduction to the problem of insulator detection and a description of various currently used methods. Afterwards, the authors … WebOct 14, 2024 · Detection of Power Line Insulator Defects Using Aerial Images Analyzed With Convolutional Neural Networks Abstract: As the failure of power line insulators leads to the failure of power transmission systems, an insulator inspection system based on an … great west insurance rating

Antrix Joshi and Alis Ekmekci - Institute of Physics

Category:Detection of power line insulators on digital images with the use …

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Detection of power line insulator

Sensors Free Full-Text Detection of Power Line …

WebJul 29, 2024 · The reliability of the insulator has directly affected the stable operation of electric power system. The detection of defective insulators has always been an important issue in smart grid systems. However, the traditional transmission line detection method has low accuracy and poor real-time performance. We present an insulator defect … WebHLTC imparts training on Live Line Maintenance of EHV Lines & Switch Yards, Punctured Insulator Detection, Live Line Insulator Washing …

Detection of power line insulator

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WebDOI: 10.3390/a15030083 Corpus ID: 247213610; Detection of Insulators on Power Transmission Line Based on an Improved Faster Region-Convolutional Neural Network @article{Hu2024DetectionOI, title={Detection of Insulators on Power Transmission Line Based on an Improved Faster Region-Convolutional Neural Network}, author={Hai Hu … WebJan 28, 2024 · Insulators are widely used in power transmission lines. They need to go through defect detection before being used on site. The traditional method is through manual detection, which is inefficient and costly. This paper proposes a novel defect detection method based on YOLOv5 for insulators of power transmission line.

WebNov 9, 2024 · Besides insulator detection, deep learning methods could be used to detect insulator defects, which could be divided into two types: two-stage and single-stage, regardless of the backbone used. ... Z., Xu, G., Qi, Y., Liu, N., Zhang, T.: Multi-patch deep features for power line insulator status classification from aerial images. In: … WebSep 30, 2024 · A robust insulator detection algorithm based on local features and spatial orders for aerial images. IEEE Geosci. Remote Sens. Lett. 12(5), 963–967 (2014) CrossRef Google Scholar Tao, X., Zhang, D., Wang, Z., et al.: Detection of power line insulator defects using aerial images analyzed with convolutional neural networks.

WebFeb 2, 2024 · Accurate and timely detection of insulator flashover on power transmission lines is of paramount importance to power utilities. Most available solutions mainly focus … WebNov 5, 2024 · 3.3. Fault Detection Based on Regional Insulator. To detect fault insulators, the obtained image including insulator areas as shown in Figure 2 is multiplied with the original image, which is able to remove the complex background such as the pole and tower line in the original image. The result is simpler than the original image and it is …

WebSep 13, 2024 · 4 Method of detecting power line insulators in digital images with the application of laser spots. The process of detecting an insulator in the analysed digital …

WebOct 1, 2024 · Insulators are one of the critical components of high-altitude transmission lines. Insulator defects can lead to the failure of the power transmission system and … florida peace officer statuteWebOct 1, 2024 · The soft non-maximum suppression (Soft-NMS) is utilized to improve the performance of detection overlap insulator and ResNet 101 model is adopted to … great west international valueWebMar 1, 2024 · Detecting insulators on a power transmission line is of great importance for the safe operation of power systems. Aiming at the problem of the missed detection and misjudgment of the original feature extraction network VGG16 of a faster region-convolutional neural network (R-CNN) in the face of insulators of different sizes, in order … great west insurance txWebAug 18, 2024 · Aerial insulator defect images have some features. For instance, the complex background and small target of defects would make it difficult to detect insulator defects quickly and accurately. To solve the problem of low accuracy of insulator defect detection, this paper concerns the shortcomings of IoU and the sensitivity of small … florida peach sweetsWebMar 2, 2024 · With the aim of improving the image quality of the crucial components of transmission lines taken by unmanned aerial vehicles (UAV), a priori work on the defective fault location of high-voltage transmission lines has attracted great attention from researchers in the UAV field. In recent years, generative adversarial nets (GAN) have … great west international index fund invWebJan 1, 2014 · An algorithm for detection of insulators based on local circular descriptor method has been introduced by [9] for deriving the main points and grouping them with k … great-west international index fund invWebJul 9, 2024 · In aerial images of power lines are used to test a method to detect insulators, based of the fusion of HOG and LBP features, reaching a correct detection of 89.1%. Zhao et al. in papers [ 14 , 15 , 16 ] documented an extensive study about the insulator detection and localization. great west interiors