A5079591519- Power Line Inspection Robots
- Vibration and Dynamic Analysis
- Thermal Analysis in Power Transmission
- Icing and De-icing Technologies
- High voltage insulation and dielectric phenomena
- Advanced Sensor and Control Systems
- Smart Grid and Power Systems
- High-Voltage Power Transmission Systems
- Smart Materials for Construction
- Infrastructure Maintenance and Monitoring
- Structural Health Monitoring Techniques
- Advanced Algorithms and Applications
- Power Systems and Technologies
- Image Enhancement Techniques
- Industrial Vision Systems and Defect Detection
- Advanced Neural Network Applications
- Power Transformer Diagnostics and Insulation
- Structural Engineering and Vibration Analysis
- Aerosol Filtration and Electrostatic Precipitation
- Advanced Computational Techniques and Applications
- Advanced materials and composites
- Embedded Systems and FPGA Design
- Elevator Systems and Control
- Power Systems Fault Detection
- Advanced Fiber Optic Sensors
Xi'an Polytechnic University
2016-2025
Xidian University
2004-2025
Ludong University
2025
Guangxi University
2023-2024
Northern University of Malaysia
2024
Nanchang Institute of Technology
2024
Harbin Engineering University
2024
Xi'an University of Technology
2008-2024
Dalian University of Technology
2024
ORCID
2019-2020
Dense distribution and significant size difference of transmission line connecting fittings are difficult to maintain, long-term exposure the outdoor environment is vulnerable adverse environmental effects rust failure. The common image processing methods deep learning algorithms not competent for this kind dense small-target detection task, so target model based on an hierarchical algorithm proposed in article, which uses anchor-free decoupled head design ideas, through ASFF multiscale...
Abstract With the improvement of smart grid, utilizing unmanned aerial vehicles (UAV) to detect operation status insulators has attracted widespread attention. The insulator defects can lead serious power loss, damage service life lines, and even result in outages cases. small‐scale object, complex background, limited‐number collected data make defect still a challenging problem. Benefitted by advances deep learning, learning‐based have achieved great progress recent years. In paper, authors...
Insulator defect detection of transmission line insulators is an important task for unmanned aerial vehicle (UAV) inspection, which immense importance in ensuring the stable operation lines. Transmission exist complex weather scenarios, with small and inconsistent shapes. These under various conditions could result low-quality images captured, limited data numbers, imbalanced sample problems. Traditional methods often struggle to accurately identify information, resulting missed or false...
Research on loose bolt fault in transmission towers is difficult to detect, and the localization of bolts has always been a challenge field structural health monitoring. This article investigates relationship between modal frequencies shapes at different levels finds that when become loose, order frequency changes consistent with mode shape location loosening. Based this, new method for locating proposed. In identification parameters, an improved variational decomposition used extract...
Inertia weight is one of the most important parameters particle swarm optimization (PSO) algorithm. Based on basic idea decreasing inertia (DIW), two strategies natural exponential functions were proposed. Four different benchmark used to evaluate effects these PSO performance. The results experiments show that new converge faster than linear during early stage search process. For continuous problems, perform better
Flexure hinges have been used in many engineering areas where high precision and sensitivity are required. Many kinds of flexure profiles were proposed during the past decade. Therefore, a general closed-form solution for different that incorporates profile selection parameter design will be great benefit to hinge design. The present work brings circular, right-circular, elliptical together by proposing generalized model, which we call arc (whose maximum eccentric angle phi(m) ranges from 0...
Dielectric response measurements are non-invasive and promising diagnostic methods that being gradually used for assessing the insulation aging condition of transformer oil-paper system. It is known moisture content in oil-impregnated has significant effect on its dielectric phenomena, whereas at present there few research about characteristics aged cellulose without impact water. In this work, a series experiments designed carried out well-controlled laboratory. Accelerated thermal...
The icing on transmission line conductor usually causes accidents such as galloping, breaking, tripping, and even network paralyzing, which could bring serious threats to the safe operation of power system. shape not only has a great influence estimate melting ice time or current, but also directly affects mechanical calculation galloping. Therefore, it is paramount determine shape. Many available artificial measurements are inaccurate ineffective enough in some cases. This paper proposes...
<title>Abstract</title> The vibration dampers on transmission lines, after prolonged exposure to natural environments, are prone corrosion and damage caused by various external factors. Detection algorithms specifically designed for small targets like still scarce. Moreover, existing often exhibit drawbacks such as limited accuracy insufficient real-time performance.To address these challenges, this paper proposes a novel detection method abnormal lines based an EffDetNet framework....
The aluminum strands break and surface damage will gradually develop into irreversible destruction to the conductors whole transmission lines, even lead serious power outages. In order find out potential faults prevent its further deterioration, a recognition method of conductor defects in lines' unmanned aerial vehicle (UAV) inspection is presented this paper. First, image obtained by UAV acquisition system, then, region extracted adaptive threshold segmentation after enhancement processing...
In this article, an online monitoring technology applied to transmission line towers is proposed overcome the problems that foundation deformation difficult find in mining area, river, hillside, and other special areas. The measurement of stress or strain caused by tower are rarely issued, though status can be possibly assessed strain. A new lines developed which consists three parts. first part, key elements effectively analyzed under different deformations such as settlement, inclination,...
Overhead transmission lines suffer from extended exposure to harsh weather conditions. Metal dampers, a crucial protective fitting in the line, can effectively suppress conductor's vibration energy and prevent Aeolian ice shedding. To ensure safety of operation damper, we are proposing detection method for structural defect damper based on spatial relationship. First, unmanned aerial vehicle (UAV) images processed with relative total variation (RTV) transform obtain an enhanced image smooth...
As a crucial component in power transmission lines, structural defects dampers can significantly reduce their ability to suppress wire vibrations, posing serious threat the line infrastructure. Most existing methods for damper defect detection are based on deep learning. However, these face challenges when applied unmanned aerial vehicle (UAV)-captured images of dampers, as they often appear complex backgrounds and contain small densely distributed objects. This research aims improve...
Regular inspection of the insulator operating status is essential to ensure safe and stable operation power system. Unmanned aerial vehicle (UAV) has played an important role in transmission line inspection, replacing former manual inspection. With development deep learning technologies, learning-based defect detection methods have drawn more attention gained great improvement. However, mostly focus on designing complex refined network architecture, which will increase inference complexity...
The accumulation of snow and ice on PV modules can have a detrimental impact power generation, leading to reduced efficiency for prolonged periods.Thus, it becomes imperative develop an intelligent system capable accurately assessing the extent coverage modules.To address this issue, article proposes innovative recognition algorithm that effectively segments areas within collected images.Furthermore, incorporates analysis morphological characteristics modules, allowing establishment residual...
To address the low accuracy and moderate speed of traditional foreign object detection in transmission line image inspection, FusionNet is proposed based algorithm severe weather. First, FB module(Fusion Block) this algorithm, combined with CA attention(Coordinate Attention) mechanism Hardswish activation function, so that network can increase learning location information on attention overall classification information, reduce parameters. Then, FasterNet, FSB module (Fusion Speed Block)is...
Abstract The cumulative overload of conductor tension under severe weather conditions is an important cause accelerated fatigue fracture transmission lines. Traditional measurement methods require the replacement ball head hanging rings, which poses safety risks. In this paper, a method for monitoring based on acceleration data operating proposed. Firstly, modal order extraction identifying frequencies operation proposed, and then time-varying estimated instantaneous frequencies. Since...
Abstract Mrk 501 is a prototypical high-synchrotron-peaked blazar and serves as one of the primary targets for Imaging X-ray Polarimetry Explorer (IXPE). In this study, we report polarization measurements based on six IXPE observations. The detection at confidence level exceeding 99% achieved in four out observations conducted across entire energy range (2–8 keV) IXPE. maximum degree (Π X ) measured to be 15.8% ± 2.8%, accompanied by angle ( ψ 98.°0 5.°1 5.6 σ . During remaining two...
Underwater cracks are difficult to detect and observe, posing a major challenge crack detection. Currently, deep learning-based underwater detection methods rely heavily on large number of images that collect due their complex hazardous environments. This study proposes new image-processing method combines novel white balance bilateral filtering denoising transform into high-quality above-water with original features. Crack is then performed based an improved YOLOv9-OREPA model. Through...
As one of the important antivibration fittings in transmission lines, damper's accurate location, quick detection damper rust defect, and timely remedial measures are all great significance to ensure reliable electric energy. Considering background complexity image harmfulness its a method for identifying status based on processing is proposed this article. First, acquired by acquisition device grayed, feature enhancement region completed local difference processing, edge strength mapping...