Results 1 to 10 of about 111,836 (293)
An efficient YOLO v3-based method for the detection of transmission line defects [PDF]
Frontiers in Energy Research, 2023 The UAV inspection method is gradually becoming popular in transmission line inspection, but it is inefficient only through real-time manual observation. Algorithms are available to achieve automatic image identification, but the detection speed is slow,
Changbao Xu +3 more
doaj +4 more sources
Detection and Evaluation Method of Transmission Line Defects Based on Deep Learning [PDF]
IEEE Access, 2020 The issues of existing research on transmission line detection include the following three: only detects a few categories, no open transmission line component dataset, and no unified, comprehensive evaluation index.
Huagang Liang, Chao Zuo, Wangmin Wei
doaj +4 more sources
Transmission line bolts and their defects detection method based on position relationship [PDF]
Frontiers in Energy Research, 2023 Introduction: To solve the problems of small proportion of bolts in aerial images of power transmission lines, small differences between classes, and difficulty in extracting refined features, this paper proposes a method for detecting power transmission
Zhenbing Zhao +6 more
doaj +4 more sources
Energy Reports, 2023 In order to realize the automatic identification of typical defects in transmission lines, a typical defect identification method for transmission lines based on You Only Look Once (YOLO)v5 algorithm is proposed, which has the advantages of low missing ...
Jiaxin Yuan +7 more
doaj +4 more sources
Detection of Transmission Line Insulator Defects Based on an Improved Lightweight YOLOv4 Model
Applied Sciences, 2022 Defective insulators seriously threaten the safe operation of transmission lines. This paper proposes an insulator defect detection method based on an improved YOLOv4 algorithm. An insulator image sample set was established according to the aerial images
Zhibin Qiu +4 more
doaj +3 more sources
Identifying Defects in the Transmission Lines by Neural Networks [PDF]
American Journal of Energy Engineering, 2015 The paper presents a new technique for the identification of defects in transmission lines using artificial neural networks. The technique uses the amplitude at the fundamental frequency voltage and current signals to one end of the line. A study is conducted to evaluate the performance of the fault identifier.
exaly +2 more sources
DCDW-YOLOv11: An Intelligent Defect-Detection Method for Key Transmission-Line Equipment [PDF]
SensorsThe detection of defects in key transmission-line equipment under complex environments often suffers from insufficient accuracy and reliability due to background interference and multi-scale feature variations.
Dezhi Wang +6 more
doaj +2 more sources
Washable Stitched Transmission Line for Wearable Applications [PDF]
Physics Access, 2021 In this paper the washability of a stitched transmission line is been studied. The aim is to determine the deterioration of the frequency dependence of the scattering parameters of the stitched transmission line after subjecting it to washing cycles ...
Isaac H Daniel +3 more
doaj +1 more source
Tissue-specific and mosaic imprinting defects underlie opposite congenital growth disorders in mice. [PDF]
PLoS Genetics, 2018 Differential DNA methylation defects of H19/IGF2 are associated with congenital growth disorders characterized by opposite clinical pictures. Due to structural differences between human and mouse, the mechanisms by which mutations of the H19/IGF2 ...
Andrea Freschi +12 more
doaj +1 more source
Repair compositions for restoration of operated reinforced concrete structures [PDF]
E3S Web of Conferences, 2021 Power transmission lines (PTL) are strategic objects, the reliability of which depends on the life support of the country. Most of the currently operated power transmission lines were put into operation in the twentieth century, and by now there is a ...
Shlyakhova Elena +5 more
doaj +1 more source