Detection of power line insulator

Author: qxfk

August undefined, 2024

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 … WebAug 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 …

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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 … 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 … birds hill provincial park activities

Methods of transmission channel insulator detection based on …

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 … 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 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 … dana wells california

An Image-Based Deep Learning Approach with Improved DETR for Power Line …

Insulator defect detection: A detection method of target search …

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 … Web8 rows · Power lines insulator defect detection results in different scene. each column shows ... birds hill provincial park campground mapWebJun 7, 2024 · With the rapid growth of high-voltage transmission lines, the number of power transmission line equipments is correspondingly increasing. Power insulator is the basic component which plays the key role in the stable operation of power system. As a common defect of power insulators, missing-cap issue will affect the structural strength and … birds hill provincial park bike trails

"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 … " - Detection of power line insulator

Detection of power line insulator

Sensors Free Full-Text Detection of Power Line …

WebSep 8, 2024 · Insulators play an important role in the operation of outdoor high-voltage transmission lines. However, insulators are installed in outdoor environments for long periods and thus failures are inevitable. It is necessary to conduct timely insulator inspection and maintenance. In this paper, an improved Yolov3 target detection network … WebEklund Infrared/Eklund Innovation offer Corona Camera rentals, coronacamerarental.com. for insulator contamination detection, power …

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WebMay 7, 2024 · consuming. Through the understanding of insulator faults, finding the most effective detection method for insulator faults will be of great significance to the safe operation of the entire grid. If there is an instrument, it can patrol the high-voltage transmission line insulators and power supply equipment for WebSep 7, 2024 · Insulators are basic parts of high-voltage transmission, and detecting faults of insulators is a critical task. Most state-of-the-art methods contain two or more stages, including insulator detection and defect locating. Some also involve hand-designed components to improve the performance due to the complicated and misleading …

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

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. 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 …

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 …

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. dana westcottWebMar 29, 2024 · The breakage and defect of the insulator have great influence on the safe of transmission lines, and insulator defect detection with difference types is a complex work. ... A. Wendel, and H. Bischof, “Visual recognition and fault detection for power line insulators,” in Proceedings of the 19th Computer Vision Winter Workshop, Krtiny, vol. 2 ... bird shirtWebMay 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 … birds hill provincial park trailsWebJul 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. birds hill veterinary clinicWebJan 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. birds hill united churchWebOct 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 ... birds hill provincial park weatherWebFeb 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 … birds hill provincial park pass