Insulator nondestructive testing based on VGGNet algorithm

Ma Lixin; Dou Chenfei; Song Chencan; Yang Tianxiao

doi:10.12086/oee.2021.200072

[1] Lv Z N. A survey of common faults analysis and detection methods for transmission line[J]. Autom Instrum, 2020(1): 161–164, 168.

[2] Huang Y C, Zheng Y H, Xu P P. Degradation state of composite insulator evaluated by infrared detection technology[J]. Electrotech Electr, 2019(6): 48–52.

[3] Tian Z R, Jin L J. Detection of insulator contamination grades based on digital image processing[J]. Adv Technol Electr Eng Energy, 2015, 34(9): 70–74.

[4] Ma L X, Zhou X B, Zhu R, et al. The quantitative classification of corona discharge intensity of UV detection[J]. Opto-Electron Eng, 2016, 43(1): 1–5.

[5] Asimakopoulou G E, Kontargyri V T, Tsekouras G J, et al. Artificial neural network optimisation methodology for the estimation of the critical flashover voltage on insulators[J]. IET Sci Meas Technol, 2009, 3(1): 90–104.

[6] Pei S T. Analysis and evaluation of insulator operation status based on infrared and ultraviolet imaging detection technology[ D]. Beijing: North China Electric Power University (Beijing), 2019.

[7] Zuo G Y, Ma L, Xu C F, et al. Insulator detection method based on cross-connected convolutional neural network[J]. Autom Electr Power Syst, 2019, 43(4): 101–106.

[8] Woon W L, El-Hag A, Harbaji M. Machine learning techniques for robust classification of partial discharges in oil–paper insulation systems[J]. IET Sci Meas Technol, 2016, 10(3): 221–227.

[9] Pei S T, Liu Y P, Ji X X, et al. UV-flashover evaluation of porcelain insulators based on deep learning[J]. IET Sci Meas Technol, 2018, 12(6): 770–776.

[10] Czajka A, Bowyer K W, Krumdick M, et al. Recognition of image- orientation-based iris spoofing[J]. IEEE Trans Inf For Secur, 2017, 12(9): 2184–2196.

[11] Chen Y, Xu Y. Detection and localization of untwisted strands in transmission lines using cascaded shape filtering and color filtering[ C]//2015 IEEE Workshop on Signal Processing Systems (SIPS), 2015: 1–6.

[12] Zhang Z J, Zhang W, Zhang D D, et al. Comparison of different characteristic parameters acquired by UV imager in detecting corona discharge[J]. IEEE Trans Dielectr Electr Insul, 2016, 23(3): 1597–1604.

[13] Wang S H, Lv F C, Liu Y P. Estimation of discharge magnitude of composite insulator surface corona discharge based on ultraviolet imaging method[J]. IEEE Trans Dielectr Electr Insul, 2014, 21(4): 1697–1704.

[14] Lin J F. Research on semantic segmentation of remote sensing image based on deep learning[D]. Guangzhou: Guangdong University of Technology, 2019.

[15] Pei F. Research on image style migration system based on deep convolutional neural network[D]. Yinchuan: Ningxia University, 2019.

[16] Pei S T, Liu Y P, Chen T F, et al. Infrared spectrum diagnosis method of deteriorated insulators based on BOA-SVM[J]. Electr Meas Instrum, 2018, 55(24): 11–16.