Latest Research in Power Line Inspection Robots
25 research papers · 2026 median publication year
Top Research Topics in Power Line Inspection Robots
- Power Line Inspection Robots — 11 papers
- Advanced Neural Network Applications — 7 papers
- Power Transformer Diagnostics and Insulation — 2 papers
- Electrical Fault Detection and Protection — 2 papers
- High voltage insulation and dielectric phenomena — 2 papers
- Thermography and Photoacoustic Techniques — 1 papers
Highest-Cited Papers
- Detection of Symmetry-Breaking Insulator Defects via Asymmetric Direction-Aware YOLOv11
- FS-YOLO: A Lightweight Insulator Defect Detection Method Based on Multi-Level Feature Fusion and Localization Quality Estimation
- YOLO-TDH: An object detection framework for power transmission line inspection
- Star-IBR: Star-Shaped Iterative Box Refinement for Insulator Defect Localization
- Attention-Enhanced Lightweight YOLO with Evolutionary Architecture Search for Insulator Defect Detection
- Thermal–Fluid Characteristics of Transformer Winding Inter-Turn Short Circuits and Their Application to Fault Localization
- Defect and Fault Diagnosis Method for Three-Phase Cross-Bonded Cables Based on High-Frequency High-Voltage Coordinated Excitation
- Fault detection in power transmission lines using a KED-GNN approach
- Pixel-Level autonomous identification method for self-explosion defects of aerial insulators based on Deep Q-Network and reinforcement learning
- Enhancing power transmission conductor reliability through fault detection using UAV-assisted YOLOv8 algorithm
- UAV-Based Transmission Tower Inspection Using Hierarchical Multitask Learning Under Heterogeneous Supervision
- Nonlinear Fatigue Damage Assessment for Transformer Windings Under Thermal Aging and Repeated Short-Circuit Loading
- Benchmarking of Multi-Modal Partial Discharge Sensors and a Cross-Modal Corroboration Framework for Noise Discrimination in Air-Insulated Medium-Voltage Metal-Clad Switchgear
- A multi-scale collaborative optimization approach for infrared target detection of electrical apparatus in switchgear cabinets
- SML-YOLO: a lightweight insulator defect detection algorithm for transmission lines under harsh weather conditions
- A Lightweight Oriented Insulator Detection Method Based on Dual-Frequency Phase-Shift Angle Encoding and Gaussian Geometric Supervision
- Research on surface damage identification method of transmission towers based on improved single-stage detection algorithm
- YOLO11-MG Insulator Fault Detection Based on Multi-Scale Edge Information Selection and Global Information Fusion
- Improved deep convolutional algorithm for intelligent maintenance and detection of cables in complex background environments
- An insulator defect detection method for transmission lines in complex weather conditions based on improved YOLOv8n