A Review on State-of-the-Art Power Line Inspection Techniques
暂无分享,去创建一个
Lei Yang | En Li | Zize Liang | Jinzhu Peng | Junfeng Fan | Yanhong Liu | Lei Yang | Jinzhu Peng | E. Li | Zi-ze Liang | Junfeng Fan | Yanhong Liu
[1] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[2] Yang Guodong,et al. Feature fusion based insulator detection for aerial inspection , 2017, 2017 36th Chinese Control Conference (CCC).
[3] Taskeed Jabid,et al. Rotation invariant power line insulator detection using local directional pattern and support vector machine , 2016, 2016 International Conference on Innovations in Science, Engineering and Technology (ICISET).
[4] Jan Steckel,et al. A Biomimetic Radar System for Autonomous Navigation , 2019, IEEE Transactions on Robotics.
[5] Xian Tao,et al. Detection of Power Line Insulator Defects Using Aerial Images Analyzed With Convolutional Neural Networks , 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[6] P.L. Lewin,et al. An improved optically based PD detection system for continuous on-line monitoring of HV cables , 2005, IEEE Transactions on Dielectrics and Electrical Insulation.
[7] Zhigang Liu,et al. A High-Precision Loose Strands Diagnosis Approach for Isoelectric Line in High-Speed Railway , 2018, IEEE Transactions on Industrial Informatics.
[8] M. Jaya Bharata Reddy,et al. Condition monitoring of 11 kV distribution system insulators incorporating complex imagery using combined DOST-SVM approach , 2013, IEEE Transactions on Dielectrics and Electrical Insulation.
[9] Huang Li,et al. Localisation of insulator strings' images based on colour filtering and texture matching , 2018, The Journal of Engineering.
[10] Yi Li,et al. R-FCN: Object Detection via Region-based Fully Convolutional Networks , 2016, NIPS.
[11] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Stephen Robson,et al. High voltage insulator monitoring using infrared camera and FPGA , 2019, 2019 54th International Universities Power Engineering Conference (UPEC).
[13] Le Zhao,et al. Power Line Extraction From Aerial Images Using Object-Based Markov Random Field With Anisotropic Weighted Penalty , 2019, IEEE Access.
[14] Hao Jiang,et al. Insulator Fault Detection in Aerial Images Based on Ensemble Learning With Multi-Level Perception , 2019, IEEE Access.
[15] Carlos Sampedro,et al. Towards autonomous detection and tracking of electric towers for aerial power line inspection , 2014, 2014 International Conference on Unmanned Aircraft Systems (ICUAS).
[16] Dezhen Song,et al. Toward Automatic Subsurface Pipeline Mapping by Fusing a Ground-Penetrating Radar and a Camera , 2020, IEEE Transactions on Automation Science and Engineering.
[17] Yincheng Qi,et al. Representation of binary feature pooling for detection of insulator strings in infrared images , 2016, IEEE Transactions on Dielectrics and Electrical Insulation.
[18] Guodong Yang,et al. Remote maintenance system for inspection robot based on CDMA network , 2013 .
[19] Ye Han,et al. A CNN-Based Defect Inspection Method for Catenary Split Pins in High-Speed Railway , 2019, IEEE Transactions on Instrumentation and Measurement.
[20] Zhigang Liu,et al. Unified Deep Learning Architecture for the Detection of All Catenary Support Components , 2020, IEEE Access.
[21] Carlos Sampedro,et al. Deep Learning-Based System for Automatic Recognition and Diagnosis of Electrical Insulator Strings , 2019, IEEE Access.
[22] Zhigang Liu,et al. Detection Approach Based on an Improved Faster RCNN for Brace Sleeve Screws in High-Speed Railways , 2020, IEEE Transactions on Instrumentation and Measurement.
[23] Min Tan,et al. A robust vanishing point detection method for UAV autonomous power line inspection , 2017, 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO).
[24] Yutao Wang,et al. Self-Shattering Defect Detection of Glass Insulators Based on Spatial Features , 2019 .
[25] Iván Fernando Mondragón,et al. Towards Visual Based Navigation with Power Line Detection , 2014, ISVC.
[26] Robert Jenssen,et al. Intelligent Monitoring and Inspection of Power Line Components Powered by UAVs and Deep Learning , 2019, IEEE Power and Energy Technology Systems Journal.
[27] Narciso García,et al. Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[28] Ali Farhadi,et al. YOLO9000: Better, Faster, Stronger , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Sebastian Bosse,et al. Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment , 2016, IEEE Transactions on Image Processing.
[30] Wang Gang,et al. Time-Domain Fault-Location Method on HVDC Transmission Lines Under Unsynchronized Two-End Measurement and Uncertain Line Parameters , 2015, IEEE Transactions on Power Delivery.
[31] Hongsheng Xu,et al. A Deep Learning Based Image Recognition and Processing Model for Electric Equipment Inspection , 2018, 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2).
[32] Tanveer Ahsan,et al. Insulator Detection and Defect Classification using Rotation Invariant Local Directional Pattern , 2018 .
[33] Zhigang Liu,et al. Automatic Defect Detection of Fasteners on the Catenary Support Device Using Deep Convolutional Neural Network , 2018, IEEE Transactions on Instrumentation and Measurement.
[34] Bowen Shi,et al. Research on Recognition Method of Electrical Components Based on YOLO V3 , 2019, IEEE Access.
[35] Dah-Jye Lee,et al. High-speed railway rod-insulator detection using segment clustering and deformable part models , 2016, 2016 IEEE International Conference on Image Processing (ICIP).
[36] En Li,et al. High-Voltage Power Transmission Tower Detection Based on Faster R-CNN and YOLO-V3 , 2019, 2019 Chinese Control Conference (CCC).
[37] Lei Huang,et al. Optimal PMU Placement Considering Controlled Islanding of Power System , 2014, IEEE Transactions on Power Systems.
[38] Min Tan,et al. A Point-Line-Based SLAM Framework for UAV Close Proximity Transmission Tower Inspection , 2018, 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO).
[39] Mehdi Korki,et al. Automatic Fault Detection of Power Lines using Unmanned Aerial Vehicle (UAV) , 2019, 2019 1st International Conference on Unmanned Vehicle Systems-Oman (UVS).
[40] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[41] Juha Hyyppä,et al. Remote sensing methods for power line corridor surveys , 2016 .
[42] Antonio Orlandi,et al. Detectability of Degraded Joint Discontinuities in HV Power Lines Through TDR-Like Remote Monitoring , 2016, IEEE Transactions on Instrumentation and Measurement.
[43] En Li,et al. Toward a Cluttered Environment for Learning-Based Multi-Scale Overhead Ground Wire Recognition , 2018, Neural Processing Letters.
[44] Xiaolong Hui,et al. A monocular-based navigation approach for unmanned aerial vehicle safe and autonomous transmission-line inspection , 2019 .
[45] F Aminifar,et al. Probabilistic Multistage PMU Placement in Electric Power Systems , 2011, IEEE Transactions on Power Delivery.
[46] Gongping Wu,et al. A Novel Method to Reconstruct Overhead High-Voltage Power Lines Using Cable Inspection Robot LiDAR Data , 2017, Remote. Sens..
[47] Min Tan,et al. A novel autonomous navigation approach for UAV power line inspection , 2017, 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO).
[48] P. Surya Prasad,et al. Review on Machine Vision based Insulator Inspection Systems for Power Distribution System , 2016 .
[49] Xiren Miao,et al. Distribution Line Pole Detection and Counting Based on YOLO Using UAV Inspection Line Video , 2019, Journal of Electrical Engineering & Technology.
[50] Wenbin Zhang,et al. A Method Based on Multi-Sensor Data Fusion for UAV Safety Distance Diagnosis , 2019, Electronics.
[51] Davide Moroni,et al. Fault Detection in Power Equipment via an Unmanned Aerial System Using Multi Modal Data , 2019, Sensors.
[52] Jun Li,et al. A Cascaded Spatial Transformer Network for Oriented Equipment Detection in Thermal Images , 2018, 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2).
[53] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[54] Robert Birke,et al. Exploring Deep Reinforcement Learning for Autonomous Powerline Tracking , 2019, IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
[55] En Li,et al. Energy-based balance control approach to the ball and beam system , 2009, Int. J. Control.
[56] Zihui Yin,et al. The discrimination method as applied to a deteriorated porcelain insulator used in transmission lines on the basis of a convolution neural network , 2017, IEEE Transactions on Dielectrics and Electrical Insulation.
[57] Longjun Wang,et al. Semantic Segmentation of Transmission Lines and Their Accessories Based on UAV-Taken Images , 2019, IEEE Access.
[58] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[59] J. Sawada,et al. A Mobile Robot for Inspection of Power Transmission Lines , 1991, IEEE Power Engineering Review.
[60] Zhijian Jin,et al. An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images , 2018, CSEE Journal of Power and Energy Systems.
[61] Yeong Sang Park,et al. Radar Localization and Mapping for Indoor Disaster Environments via Multi-modal Registration to Prior LiDAR Map , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[62] Wang Wei,et al. Electric insulator detection of UAV images based on depth learning , 2017, 2017 2nd International Conference on Power and Renewable Energy (ICPRE).
[63] Ping Tan,et al. Multialgorithm Fusion Image Processing for High Speed Railway Dropper Failure–Defect Detection , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[64] Philippe Hamelin,et al. LineDrone Technology: Landing an Unmanned Aerial Vehicle on a Power Line , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[65] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[66] Valeri Kroumov,et al. Development of UAV System for Autonomous Power Line Inspection , 2019, 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC).
[67] Min Tan,et al. A Novel Monocular-Based Navigation Approach for UAV Autonomous Transmission-Line Inspection , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[68] Jubai An,et al. An Active Contour Model Based on Texture Distribution for Extracting Inhomogeneous Insulators From Aerial Images , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[69] Rui Guo,et al. Design of an Inspection Robot System with Hybrid Operation Modes for Power Transmission Lines , 2019, 2019 IEEE International Conference on Mechatronics and Automation (ICMA).
[70] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[71] Min Tan,et al. Deep-learning-based autonomous navigation approach for UAV transmission line inspection , 2018, 2018 Tenth International Conference on Advanced Computational Intelligence (ICACI).
[72] Jungang Yin,et al. Edge Detection of High-Voltage Porcelain Insulators in Infrared Image Using Dual Parity Morphological Gradients , 2019, IEEE Access.
[73] Zhengjun Liu,et al. A Multiple Sensors Platform Method for Power Line Inspection Based on a Large Unmanned Helicopter , 2017, Sensors.
[74] Ze Liu,et al. An insulator defect detection algorithm based on computer vision , 2017, 2017 IEEE International Conference on Information and Automation (ICIA).
[75] Guo-Ping Liu,et al. Control of Inspection Robots for Power Transmission Lines Based on Remote Video over Internet , 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).
[76] Bo Du,et al. Defect Detection from UAV Images Based on Region-Based CNNs , 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).
[77] Hao Xu,et al. A Method of Insulator Faults Detection in Aerial Images for High-Voltage Transmission Lines Inspection , 2019, Applied Sciences.
[78] Lei Yang,et al. An Automatic Detection and Identification Method of Welded Joints Based on Deep Neural Network , 2019, IEEE Access.
[79] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[80] Y. Alinejad-Beromi,et al. Optimal PMU placement for power system observability using binary particle swarm optimization and considering measurement redundancy , 2011, Expert Syst. Appl..
[81] Xueneng Huang,et al. Design and Application of Insulator Detection Robot System for UHVDC Transmission Line , 2019 .
[82] Zhiyuan Li,et al. Identification Method of Railway Insulator Based on Edge Features , 2018, IOP Conference Series: Materials Science and Engineering.
[83] Haijian Zhang,et al. Combined Convolutional and Structured Features for Power Line Detection in UAV Images , 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.
[84] Xiaolong Hui,et al. Vision-based autonomous navigation approach for unmanned aerial vehicle transmission-line inspection , 2018 .
[85] Guodong Yang,et al. Insulator Segmentation for Power Line Inspection Based on Modified Conditional Generative Adversarial Network , 2019, J. Sensors.
[86] Geraldo Jose Adabo. Long Range Unmanned Aircraft System for Power Line Inspection of Brazilian Electrical System , 2014 .
[87] Mehdi Bagheri,et al. High voltage outdoor insulator surface condition evaluation using aerial insulator images , 2019, High Voltage.
[88] Xuelong Li,et al. Power line detection from optical images , 2014, Neurocomputing.
[89] Youmin Zhang,et al. Insulator identification from aerial images using Support Vector Machine with background suppression , 2016, 2016 International Conference on Unmanned Aircraft Systems (ICUAS).
[90] Yi Zheng,et al. Parallel RCNN: A deep learning method for people detection using RGB-D images , 2017, 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).
[91] Chien-Kuo Chang,et al. The Use of Partial Discharges as an Online Monitoring System for Underground Cable Joints , 2011, IEEE Transactions on Power Delivery.
[92] En Li,et al. Modeling and control of a bi-brachiate inspection robot for power transmission lines , 2010, 2010 IEEE International Conference on Mechatronics and Automation.
[93] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[94] Jaime S. Cardoso,et al. Insulator visual non-conformity detection in overhead power distribution lines using deep learning , 2019, Comput. Electr. Eng..
[95] Weishan Zhang,et al. RCNN-based foreign object detection for securing power transmission lines (RCNN4SPTL) , 2018, IIKI.
[96] Min Tan,et al. A Novel Development of Robots with Cooperative Strategy for Long-term and Close-proximity Autonomous Transmission-line Inspection , 2019, 2019 International Conference on Robotics and Automation (ICRA).
[97] En Li,et al. Apple detection during different growth stages in orchards using the improved YOLO-V3 model , 2019, Comput. Electron. Agric..
[98] Ömer Nezih Gerek,et al. Automatic recognition of scenes with power line wires in real life aerial images using DCT-based features , 2017, Digit. Signal Process..
[99] Zhenbing Zhao,et al. Localization of multiple insulators by orientation angle detection and binary shape prior knowledge , 2015, IEEE Transactions on Dielectrics and Electrical Insulation.
[100] Yang Li,et al. Automatic power line extraction from high resolution remote sensing imagery based on an improved Radon transform , 2016, Pattern Recognit..
[101] Zhaoyang Hu,et al. Cracked Insulator Detection Based on R-FCN , 2018 .
[102] Li Guo,et al. An Electrical Insulator Defects Detection Method Combined Human Receptive Field Model , 2018, J. Control. Sci. Eng..
[103] Xiaogang Wang,et al. Multi-source Deep Learning for Human Pose Estimation , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[104] Yi Liu,et al. UAV Transmission Line Inspection Object Recognition based on Mask R-CNN , 2019 .
[105] Min Tan,et al. A Point-match-based Distance-perception Approach for UAV Autonomous Transmission-line Inspection , 2018, 2018 13th World Congress on Intelligent Control and Automation (WCICA).
[106] Ye Zhang,et al. Automatic identification and location technology of glass insulator self-shattering , 2017, J. Electronic Imaging.
[107] Liu Yunpeng,et al. Infrared Evaluation Classification Method for Deteriorated Insulator Based on Bayesian Algorithm , 2019 .
[108] Pascual Campoy Cervera,et al. A supervised approach to electric tower detection and classification for power line inspection , 2014, 2014 International Joint Conference on Neural Networks (IJCNN).
[109] Zhenbing Zhao,et al. Insulator Fault Detection Based on Spatial Morphological Features of Aerial Images , 2018, IEEE Access.
[110] Flavio Prieto,et al. Onboard visual-based navigation system for power line following with UAV , 2018 .
[111] Qilin Li,et al. Infrared Image Segment and Fault Location for Power Equipment , 2019 .
[112] Shengquan Xie,et al. Texture-and-Shape Based Active Contour Model for Insulator Segmentation , 2019, IEEE Access.
[113] K. Tarakanath,et al. Insulator condition analysis for overhead distribution lines using combined wavelet support vector machine (SVM) , 2010, IEEE Transactions on Dielectrics and Electrical Insulation.
[114] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[115] Yincheng Qi,et al. Multi-patch deep features for power line insulator status classification from aerial images , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).
[116] Haiyan Cheng,et al. Multi-Saliency Aggregation-Based Approach for Insulator Flashover Fault Detection Using Aerial Images , 2018 .
[117] Rui Wang,et al. Vision-Based Autonomous Hovering for the Biomimetic Underwater Robot—RobCutt-II , 2019, IEEE Transactions on Industrial Electronics.
[118] Kai Liu,et al. Location and fault detection of catenary support components based on deep learning , 2018, 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).
[119] Feng Gao,et al. Detection and Recognition for Fault Insulator Based on Deep Learning , 2018, 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).
[120] Ali Farhadi,et al. YOLOv3: An Incremental Improvement , 2018, ArXiv.
[121] Hao Jiang,et al. Insulator Detection in Aerial Images for Transmission Line Inspection Using Single Shot Multibox Detector , 2019, IEEE Access.
[122] Zifa Liu,et al. Application of Unmanned Aerial Vehicle Hangar in Transmission Tower Inspection Considering the Risk Probabilities of Steel Towers , 2019, IEEE Access.
[123] Kai Liu,et al. A High-Precision Positioning Approach for Catenary Support Components With Multiscale Difference , 2020, IEEE Transactions on Instrumentation and Measurement.
[124] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[125] Juntao Yang,et al. Voxel-Based Extraction of Transmission Lines From Airborne LiDAR Point Cloud Data , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[126] Xin Xu,et al. Fault Detection of Insulators Using Second-order Fully Convolutional Network Model , 2019, Mathematical Problems in Engineering.
[127] Kai Liu,et al. Multi-Objective Performance Evaluation of the Detection of Catenary Support Components Using DCNNs , 2018 .
[128] En Li,et al. Detection for power transmission line in low-resolution aerial image , 2017, 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO).
[129] Farhad Rachidi,et al. An Alternative Method for Locating Faults in Transmission Line Networks Based on Time Reversal , 2017, IEEE Transactions on Electromagnetic Compatibility.
[130] Alex Pappachen James,et al. IN-YOLO: Real-Time Detection of Outdoor High Voltage Insulators Using UAV Imaging , 2020, IEEE Transactions on Power Delivery.
[131] Linlin Zhu,et al. Power line recognition and tracking method for UAVs inspection , 2015, 2015 IEEE International Conference on Information and Automation.
[132] Guodong Yang,et al. Development of a power line inspection robot with hybrid operation modes , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[133] Yang Lyu,et al. A Generic Anomaly Detection of Catenary Support Components Based on Generative Adversarial Networks , 2020, IEEE Transactions on Instrumentation and Measurement.
[134] Xuelong Li,et al. Object-aware power line detection using color and near-infrared images , 2014, IEEE Transactions on Aerospace and Electronic Systems.
[135] Di Wang,et al. Fault detection of insulator based on saliency and adaptive morphology , 2017, Multimedia Tools and Applications.
[136] Dong Li,et al. Transmission Line Image Defect Diagnosis Preprocessed Parallel Method Based on Deep Learning , 2018, 2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE).
[137] Xiaolong Hui,et al. A monocular vision–based perception approach for unmanned aerial vehicle close proximity transmission tower inspection , 2019 .
[138] En Li,et al. Adaptive fuzzy logic based inspection robot for high voltage power transmission line , 2010, The 2010 IEEE International Conference on Information and Automation.
[139] Robert Jenssen,et al. Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning , 2018, International Journal of Electrical Power & Energy Systems.
[140] Xin Zhou,et al. Perspective Transformation Data Augmentation for Object Detection , 2020, IEEE Access.
[141] Ke Zhang,et al. Aggregating Deep Convolutional Feature Maps for Insulator Detection in Infrared Images , 2017, IEEE Access.