Research on Typical Defect Identification Technology of Composite Insulators for Ultra High Voltage Transmission Lines Based on Spectral Feature Extraction
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Rizk, F. A., & Trinh, G. N. (2018). High voltage engineering. CRC Press.RizkF. A.TrinhG. N. (2018). High voltage engineering. CRC Press.Search in Google Scholar
Al-Gheilani, A., Rowe, W., Li, Y., & Wong, K. L. (2017). Stress control methods on a high voltage insulator: A review. Energy Procedia, 110, 95-100.Al-GheilaniA.RoweW.LiY.WongK. L. (2017). Stress control methods on a high voltage insulator: A review. Energy Procedia, 110, 95-100.Search in Google Scholar
Zuo, F., Chang, Z. J., Nigri, A. I., Garcia, R. W. S., Cardoso, J. A. D. S., Silva, F. T. S., … & Graham, J. (2020, July). Development of methodology for replacement of damaged glass insulators in UHVDC transmission lines. In IET Conference Proceedings CP775 (Vol. 2020, No. 1, pp. 215-221). Stevenage, UK: The Institution of Engineering and Technology.ZuoF.ChangZ. J.NigriA. I.GarciaR. W. S.CardosoJ. A. D. S.SilvaF. T. S.GrahamJ. (2020, July). Development of methodology for replacement of damaged glass insulators in UHVDC transmission lines. In IET Conference Proceedings CP775 (Vol. 2020, No. 1, pp. 215-221). Stevenage, UK: The Institution of Engineering and Technology.Search in Google Scholar
Shakiba, F. M., Azizi, S. M., & Zhou, M. (2022). A transfer learning-based method to detect insulator faults of high-voltage transmission lines via aerial images: distinguishing intact and broken insulator images. IEEE systems, man, and cybernetics magazine, 8(4), 15-25.ShakibaF. M.AziziS. M.ZhouM. (2022). A transfer learning-based method to detect insulator faults of high-voltage transmission lines via aerial images: distinguishing intact and broken insulator images. IEEE systems, man, and cybernetics magazine, 8(4), 15-25.Search in Google Scholar
Anjum, S., Jayaram, S., El-Hag, A., & Jahromi, A. N. (2017). Detection and classification of defects in ceramic insulators using RF antenna. IEEE Transactions on Dielectrics and Electrical Insulation, 24(1), 183-190.AnjumS.JayaramS.El-HagA.JahromiA. N. (2017). Detection and classification of defects in ceramic insulators using RF antenna. IEEE Transactions on Dielectrics and Electrical Insulation, 24(1), 183-190.Search in Google Scholar
Zhao, W., Xu, M., Cheng, X., & Zhao, Z. (2021). An insulator in transmission lines recognition and fault detection model based on improved faster RCNN. IEEE Transactions on Instrumentation and Measurement, 70, 1-8.ZhaoW.XuM.ChengX.ZhaoZ. (2021). An insulator in transmission lines recognition and fault detection model based on improved faster RCNN. IEEE Transactions on Instrumentation and Measurement, 70, 1-8.Search in Google Scholar
Li, Z., & Du, B. (2018). Polymeric insulation for high-voltage dc extruded cables: challenges and development directions. IEEE Electrical Insulation Magazine, 34(6), 30-43.LiZ.DuB. (2018). Polymeric insulation for high-voltage dc extruded cables: challenges and development directions. IEEE Electrical Insulation Magazine, 34(6), 30-43.Search in Google Scholar
Ghassemi, M. (2019). Accelerated insulation aging due to fast, repetitive voltages: A review identifying challenges and future research needs. IEEE Transactions on Dielectrics and Electrical Insulation, 26(5), 1558-1568.GhassemiM. (2019). Accelerated insulation aging due to fast, repetitive voltages: A review identifying challenges and future research needs. IEEE Transactions on Dielectrics and Electrical Insulation, 26(5), 1558-1568.Search in Google Scholar
Stefenon, S. F., Seman, L. O., Neto, N. F. S., Meyer, L. H., Nied, A., & Yow, K. C. (2022). Echo state network applied for classification of medium voltage insulators. International Journal of Electrical Power & Energy Systems, 134, 107336.StefenonS. F.SemanL. O.NetoN. F. S.MeyerL. H.NiedA.YowK. C. (2022). Echo state network applied for classification of medium voltage insulators. International Journal of Electrical Power & Energy Systems, 134, 107336.Search in Google Scholar
Qiao, X., Zhang, Z., Jiang, X., Sundararajan, R., Ma, X., & Li, X. (2020). AC failure voltage of iced and contaminated composite insulators in different natural environments. International Journal of Electrical Power & Energy Systems, 120, 105993.QiaoX.ZhangZ.JiangX.SundararajanR.MaX.LiX. (2020). AC failure voltage of iced and contaminated composite insulators in different natural environments. International Journal of Electrical Power & Energy Systems, 120, 105993.Search in Google Scholar
Liu, C., Wu, Y., Liu, J., Sun, Z., & Xu, H. (2021). Insulator faults detection in aerial images from high-voltage transmission lines based on deep learning model. Applied Sciences, 11(10), 4647.LiuC.WuY.LiuJ.SunZ.XuH. (2021). Insulator faults detection in aerial images from high-voltage transmission lines based on deep learning model. Applied Sciences, 11(10), 4647.Search in Google Scholar
Qiu, Z., Zhu, X., Liao, C., Shi, D., & Qu, W. (2022). Detection of transmission line insulator defects based on an improved lightweight YOLOv4 model. Applied Sciences, 12(3), 1207.QiuZ.ZhuX.LiaoC.ShiD.QuW. (2022). Detection of transmission line insulator defects based on an improved lightweight YOLOv4 model. Applied Sciences, 12(3), 1207.Search in Google Scholar
Feng, Z., Guo, L., Huang, D., & Li, R. (2021, May). Electrical insulator defects detection method based on yolov5. In 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS) (pp. 979-984). IEEE.FengZ.GuoL.HuangD.LiR. (2021, May). Electrical insulator defects detection method based on yolov5. In 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS) (pp. 979-984). IEEE.Search in Google Scholar
Park, K. C., Motai, Y., & Yoon, J. R. (2017). Acoustic fault detection technique for high-power insulators. IEEE Transactions on Industrial Electronics, 64(12), 9699-9708.ParkK. C.MotaiY.YoonJ. R. (2017). Acoustic fault detection technique for high-power insulators. IEEE Transactions on Industrial Electronics, 64(12), 9699-9708.Search in Google Scholar
Mei, H., Jiang, H., Yin, F., Li, L., & Wang, L. (2020). Detection of small defects in composite insulators using terahertz technique and deconvolution method. IEEE Transactions on Instrumentation and Measurement, 69(10), 8146-8155.MeiH.JiangH.YinF.LiL.WangL. (2020). Detection of small defects in composite insulators using terahertz technique and deconvolution method. IEEE Transactions on Instrumentation and Measurement, 69(10), 8146-8155.Search in Google Scholar
Prates, R. M., Cruz, R., Marotta, A. P., Ramos, R. P., Simas Filho, E. F., & Cardoso, J. S. (2019). Insulator visual non-conformity detection in overhead power distribution lines using deep learning. Computers & Electrical Engineering, 78, 343-355.PratesR. M.CruzR.MarottaA. P.RamosR. P.Simas FilhoE. F.CardosoJ. S. (2019). Insulator visual non-conformity detection in overhead power distribution lines using deep learning. Computers & Electrical Engineering, 78, 343-355.Search in Google Scholar
Pernebayeva, D., Irmanova, A., Sadykova, D., Bagheri, M., & James, A. (2019). High voltage outdoor insulator surface condition evaluation using aerial insulator images. High Voltage, 4(3), 178-185.PernebayevaD.IrmanovaA.SadykovaD.BagheriM.JamesA. (2019). High voltage outdoor insulator surface condition evaluation using aerial insulator images. High Voltage, 4(3), 178-185.Search in Google Scholar
Wang, Q., Li, Y., Cui, S., Li, N., Zhang, X., Jiang, W., … & Sun, J. (2024). Enhanced recognition of insulator defects on power transmission lines via proposal-based detection model with integrated improvement methods. Engineering Applications of Artificial Intelligence, 136, 109078.WangQ.LiY.CuiS.LiN.ZhangX.JiangW.SunJ. (2024). Enhanced recognition of insulator defects on power transmission lines via proposal-based detection model with integrated improvement methods. Engineering Applications of Artificial Intelligence, 136, 109078.Search in Google Scholar
Salem, A. A., Abd-Rahman, R., Al-Gailani, S. A., Salam, Z., Kamarudin, M. S., Zainuddin, H., & Yousof, M. F. M. (2020). Risk assessment of polluted glass insulator using leakage current index under different operating conditions. Ieee Access, 8, 175827-175839.SalemA. A.Abd-RahmanR.Al-GailaniS. A.SalamZ.KamarudinM. S.ZainuddinH.YousofM. F. M. (2020). Risk assessment of polluted glass insulator using leakage current index under different operating conditions. Ieee Access, 8, 175827-175839.Search in Google Scholar
Li, X., Su, H., & Liu, G. (2020). Insulator defect recognition based on global detection and local segmentation. Ieee Access, 8, 59934-59946.LiX.SuH.LiuG. (2020). Insulator defect recognition based on global detection and local segmentation. Ieee Access, 8, 59934-59946.Search in Google Scholar
Tao, X., Zhang, D., Wang, Z., Liu, X., Zhang, H., & Xu, D. (2018). Detection of power line insulator defects using aerial images analyzed with convolutional neural networks. IEEE transactions on systems, man, and cybernetics: systems, 50(4), 1486-1498.TaoX.ZhangD.WangZ.LiuX.ZhangH.XuD. (2018). Detection of power line insulator defects using aerial images analyzed with convolutional neural networks. IEEE transactions on systems, man, and cybernetics: systems, 50(4), 1486-1498.Search in Google Scholar
Kang, G., Gao, S., Yu, L., & Zhang, D. (2018). Deep architecture for high-speed railway insulator surface defect detection: Denoising autoencoder with multitask learning. IEEE Transactions on Instrumentation and Measurement, 68(8), 2679-2690.KangG.GaoS.YuL.ZhangD. (2018). Deep architecture for high-speed railway insulator surface defect detection: Denoising autoencoder with multitask learning. IEEE Transactions on Instrumentation and Measurement, 68(8), 2679-2690.Search in Google Scholar
Wu, J., Jing, R., Bai, Y., Tian, Z., Wei, C., Zhang, S., … & Leung, V. C. (2024). Small insulator defects detection based on multi-scale feature interaction transformer for UAV-assisted power IoVT. IEEE Internet of Things Journal.WuJ.JingR.BaiY.TianZ.WeiC.ZhangS.LeungV. C. (2024). Small insulator defects detection based on multi-scale feature interaction transformer for UAV-assisted power IoVT. IEEE Internet of Things Journal.Search in Google Scholar
Han, J., Yang, Z., Zhang, Q., Chen, C., Li, H., Lai, S., … & Chen, R. (2019). A method of insulator faults detection in aerial images for high-voltage transmission lines inspection. Applied Sciences, 9(10), 2009.HanJ.YangZ.ZhangQ.ChenC.LiH.LaiS.ChenR. (2019). A method of insulator faults detection in aerial images for high-voltage transmission lines inspection. Applied Sciences, 9(10), 2009.Search in Google Scholar
Xing, Y., Wang, Z., Liu, L., Xu, Y., Yang, Y., Liu, S., … & Li, C. (2022). Defects and failure types of solid insulation in gas-insulated switchgear: in situ study and case analysis. High Voltage, 7(1), 158-164.XingY.WangZ.LiuL.XuY.YangY.LiuS.LiC. (2022). Defects and failure types of solid insulation in gas-insulated switchgear: in situ study and case analysis. High Voltage, 7(1), 158-164.Search in Google Scholar
Wang, T. Y., Mao, J., Zhang, B., Zhang, G. X., & Dang, Z. M. (2024). Polymeric insulating materials characteristics for high-voltage applications. Nature Reviews Electrical Engineering, 1(8), 516-528.WangT. Y.MaoJ.ZhangB.ZhangG. X.DangZ. M. (2024). Polymeric insulating materials characteristics for high-voltage applications. Nature Reviews Electrical Engineering, 1(8), 516-528.Search in Google Scholar
Su, J., Du, B., Li, J., & Li, Z. (2020). Electrical tree degradation in high-voltage cable insulation: progress and challenges. High Voltage, 5(4), 353-364.SuJ.DuB.LiJ.LiZ. (2020). Electrical tree degradation in high-voltage cable insulation: progress and challenges. High Voltage, 5(4), 353-364.Search in Google Scholar
Saleem, M. Z., & Akbar, M. (2022). Review of the performance of high-voltage composite insulators. Polymers, 14(3), 431.SaleemM. Z.AkbarM. (2022). Review of the performance of high-voltage composite insulators. Polymers, 14(3), 431.Search in Google Scholar
Maida Shahid,Muhammad Awais Hassan,Faiza Iqbal,Ayesha Altaf,Sayyed Wajihul Husnain Shah,Ana Visiers Elizaincin & Imran Ashraf. (2024). Enhancing movie recommendations using quantum support vector machine (QSVM). The Journal of Supercomputing(1),78-78.MaidaShahidMuhammad AwaisHassanFaizaIqbalAyeshaAltafSayyed Wajihul HusnainShahAna VisiersElizaincinImranAshraf (2024). Enhancing movie recommendations using quantum support vector machine (QSVM). The Journal of Supercomputing(1),78-78.Search in Google Scholar
Xiaochuan Gao,Weiting Bai,Qianlong Dang,Shuai Yang & Guanghui Zhang. (2025). Learnable self-supervised support vector machine based individual selection strategy for multimodal multi-objective optimization. Information Sciences121553-121553.XiaochuanGaoWeitingBaiQianlongDangShuaiYangGuanghuiZhang (2025). Learnable self-supervised support vector machine based individual selection strategy for multimodal multi-objective optimization. Information Sciences121553-121553.Search in Google Scholar
Adriana Valverde,Javier Roger,Javier Gorroño,Itziar Irakulis Loitxate & Luis Guanter. (2024). Detecting methane emissions from palm oil mills with airborne and spaceborne imaging spectrometers. Environmental Research Letters(12),124003-124003.AdrianaValverdeJavierRogerJavierGorroñoItziar IrakulisLoitxateLuisGuanter (2024). Detecting methane emissions from palm oil mills with airborne and spaceborne imaging spectrometers. Environmental Research Letters(12),124003-124003.Search in Google Scholar