Detection of power line insulator

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 … WebAutomatic Insulator Detection for Power Line Using Aerial Images Powered by Convolutional Neural Networks. The inspection and fault diagnosis of power transmission …

Automatic Insulator Detection for Power Line Using Aerial Images ...

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 … 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. darling family andy griffith show https://desdoeshairnyc.com

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WebMachine learning based on hand-crafted features from the original aerial insulator image has shown promising results in the insulator defect detection in recent years. Such methodologies, nevertheless, are not suitable for detecting insulator defect in complex backgrounds, which intrinsically relies on sufficient prior knowledge, low background … WebOct 1, 2024 · The pipeline for detection of power line insulators using aerial images and a quadcopter is developed as shown in Fig. 3. The deep learning-based pipeline consists of four stages as in [19]. In the first stage, pre-processing of aerial images is carried; in second stage, mast detector detects masts from aerial images; in the third stage, model ... WebMar 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 … bismarck dog training

Detection of power line insulators on digital images with the u…

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Detection of power line insulator

Multi-Saliency Aggregation-Based Approach for Insulator …

WebMay 1, 2024 · Abstract. The insulator fault of high voltage line is the main factor of transmission accidents, so positioning and detection of burst insulator of power line … WebJan 1, 2024 · The insulator detection network and the classification network precisions of the proposed method have reached 0.95 and 0.98 using the text dataset, respectively. …

Detection of power line insulator

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WebApr 16, 2024 · Detection of Power Line Insulator Based on Enhanced YOLO Model Abstract: As a special insulation device, insulators play an important role in aerial … 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.

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 … WebNov 1, 2024 · A dataset for power line inspection scenes, named RSIn-Dataset, using mainstream object detection methods to build a benchmark, providing reference for insulator detection and an improved YoloV4++ is proposed, to address the problem of detection inefficiency caused by large model parameters. Expand

WebJul 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. WebUsing artificial intelligence technology to realize intelligent detection and monitoring of transmission lines is one of the key technologies in the construction of new power system. This paper introduces the target detection of transmission channel based on deep learning method. The deep learning method has the advantages of little influence of super …

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 …

WebJan 1, 2024 · The inspection and fault diagnosis of power transmission line via aerial images is becoming widely used in smart grids and electrical power systems. However, the accuracy of detecting objects with complicated backgrounds still remains an important challenge in the defect detection system. ... and salt-and-pepper noise. The insulator … darling factory shopWebThe 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. ... bismarck documentaryWebOct 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 … bismarck donuts oremWebFeb 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 … darling family forumWebDOI: 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 … bismarck dollars for scholarsWebNov 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: … darling family foundationWebMar 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 … darling family band from andy griffith