Investigation of the Algorithm to Find Defects in High-voltage Insulators for an Automated Thermal Imaging Control System

Alina Zaripova; Damir Zaripov; Alexander Usachev

doi:10.1051/e3sconf/202128801070

All issues

Volume 288 (2021)

E3S Web Conf., 288 (2021) 01070

References

Open Access

Issue		E3S Web Conf. Volume 288, 2021 International Symposium “Sustainable Energy and Power Engineering 2021” (SUSE-2021)


Article Number		01070
Number of page(s)		5
DOI		https://doi.org/10.1051/e3sconf/202128801070
Published online		14 July 2021

H. Yuan, X. Chen, Yu Wang, M. Su, State Detection of Electrical Equipment Based on Infrared Thermal Imaging Technology, Pattern Recognition and Computer Vision, Second Chinese Conference, PRCV 2019, Xi’an, China, Proceedings, Part I (8-11 November 2019) [Google Scholar]
J. He, T. Li, Infrared detection method and application of power equipment defect, Techn. Autom. Appl., 37 (10), 97–100 + 104 (2018) [Google Scholar]
X. Zhang, Z. Tang, X. Fei, et al, Power apparatus state detection and diagnosis based on infrared thermal imaging technology, J. State Grid Technol. College, 20 (05), 6–9 (2017) [Google Scholar]
H. Yuan, X. Chen, Y. Wang, M. Su, State Detection of Electrical Equipment Based on Infrared Thermal Imaging Technology, In: Z. Lin, et all (eds), Pattern Recognition and Computer Vision, PRCV 2019, Lecture Notes in Computer Science, Springer, Cham, 11857 (2019) DOI: 10.1007/978-3-030-31654-9_22 [Google Scholar]
L. Kang, Substation equipment fault diagnosis based on infrared image processing, North China Electric Power University (2016) [Google Scholar]
Y. Wang, Y. Yin, J. Ren, Research on thermal state diagnosis of substation equipment based on infrared image, Advances in Mechanical Engineering (April 2019) DOI: 10.1177/1687814019828551 [Google Scholar]
D.A. Yaroslavsky, D.A. Ivanov, V. Nguyen, V. Wire Torsion measurement for the tasks of monitoring of the mechanical state of overhead power transmission line, Proceedings - 2020 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2020 9111999 (2020) [Google Scholar]
R.G. Minullin, Y.V. Piskovatskiy, V.A. Kasimov, Model and Experimental Detection of Single Phase-to-Earth Faults of Overhead Conductors in 6-10 Kv Distribution Circuits by a Location Method, Proceedings - 2020 International Ural Conference on Electrical Power Engineering, UralCon 2020 9216267, p. 411–415 (2020) [Google Scholar]
S.R. Khasanov, E.I. Gracheva, M.I. Toshkhodzhaeva, S.T. Dadabaev, D.S. Mirkhalikova, Reliability modeling of high-voltage power lines in a sharply continental climate, E3S Web of Conferences 178, 01051 (2020) [EDP Sciences] [Google Scholar]
R.G. Minullin, V.A. Kasimov, P.V. Kononcev, Locational sensing equipment for detecting ice and damage on transmission lines, Proceedings - 2020 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2020 9112061 (2020) [Google Scholar]
D.A. Yaroslavsky, D.A. Ivanov, V. Nguyen, V. Wire Torsion measurement for the tasks of monitoring of the mechanical state of overhead power transmission line, Proceedings - 2020 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2020 9111999 (2020) [Google Scholar]
D. Ivanov, M. Sadykov, A. Golenishchev Kutuzov, A., (…), T. Galieva, A. Arslanov, The application of the technology of sensor networks for the intellectualization of the overhead power transmission lines, E3S Web of Conferences 220, 01071 (2020) [EDP Sciences] [Google Scholar]
I. Ullah, R.U. Khan, F. Yang, L. Wuttisittikulkij, Deep Learning Image-Based Defect Detection in High Voltage Electrical Equipment, Energies, 13, 392 (2020) [Google Scholar]
Y. Chou, L. Yao, Automatic Diagnostic System of Electrical Equipment Using Infrared Thermography, 2009 International Conference of Soft Computing and Pattern Recognition, Malacca, 155–160 (2009) DOI: 10.1109/SoCPaR.2009.41 [Google Scholar]
H.Q. Zhao, Infrared weak and small target extraction algorithm based on regional feature segmentation, Laser Infrared, 46, 308–312 (2016) [Google Scholar]
Z.H. Peng, S. Yang, Z.S. Wang, et al, Infrared target extraction based on mathematical morphology and automatic region growing, Infrared Technol., 36, 47–52 (2014) [Google Scholar]
X.G. Lu, An efficient infrared target extraction algorithm combined with radiation features, Laser Infrared, 46, 634–638 (2016) [Google Scholar]
Y. Wang, Y. Yin, J. Ren, Research on thermal state diagnosis of substation equipment based on infrared image, Advances in Mechanical Engineering (April 2019) DOI: 10.1177/1687814019828551 [Google Scholar]
A.D. Zaripova, D.K. Zaripov, A.E. Usachev, Criteria for equipment defects for thermal power substation control system, Power engineering: research, equipment, technology, 19 (5-6), 51–57 (2017) (in Russian) DOI: 10.30724/1998-99032017-19-5-6-51-57 [Google Scholar]
Y. Hu, K. Liu, Inspection and monitoring technologies of transmission lines with remote sensing (2017) ISBN: 978-0-12-812644-8 [Google Scholar]
R.M. Aleev, D.K. Zaripov, Method for remote diagnostics of multi-element insulating structure, RF Pat. 2305848, 10.09.2007 (2008). [Google Scholar]

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[1] H. Yuan, X. Chen, Yu Wang, M. Su, State Detection of Electrical Equipment Based on Infrared Thermal Imaging Technology, Pattern Recognition and Computer Vision, Second Chinese Conference, PRCV 2019, Xi’an, China, Proceedings, Part I (8-11 November 2019) [Google Scholar]

[2] J. He, T. Li, Infrared detection method and application of power equipment defect, Techn. Autom. Appl., 37 (10), 97–100 + 104 (2018) [Google Scholar]

[3] X. Zhang, Z. Tang, X. Fei, et al, Power apparatus state detection and diagnosis based on infrared thermal imaging technology, J. State Grid Technol. College, 20 (05), 6–9 (2017) [Google Scholar]

[4] H. Yuan, X. Chen, Y. Wang, M. Su, State Detection of Electrical Equipment Based on Infrared Thermal Imaging Technology, In: Z. Lin, et all (eds), Pattern Recognition and Computer Vision, PRCV 2019, Lecture Notes in Computer Science, Springer, Cham, 11857 (2019) DOI: 10.1007/978-3-030-31654-9_22 [Google Scholar]

[5] L. Kang, Substation equipment fault diagnosis based on infrared image processing, North China Electric Power University (2016) [Google Scholar]

[6] Y. Wang, Y. Yin, J. Ren, Research on thermal state diagnosis of substation equipment based on infrared image, Advances in Mechanical Engineering (April 2019) DOI: 10.1177/1687814019828551 [Google Scholar]

[7] D.A. Yaroslavsky, D.A. Ivanov, V. Nguyen, V. Wire Torsion measurement for the tasks of monitoring of the mechanical state of overhead power transmission line, Proceedings - 2020 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2020 9111999 (2020) [Google Scholar]

[8] R.G. Minullin, Y.V. Piskovatskiy, V.A. Kasimov, Model and Experimental Detection of Single Phase-to-Earth Faults of Overhead Conductors in 6-10 Kv Distribution Circuits by a Location Method, Proceedings - 2020 International Ural Conference on Electrical Power Engineering, UralCon 2020 9216267, p. 411–415 (2020) [Google Scholar]

[9] S.R. Khasanov, E.I. Gracheva, M.I. Toshkhodzhaeva, S.T. Dadabaev, D.S. Mirkhalikova, Reliability modeling of high-voltage power lines in a sharply continental climate, E3S Web of Conferences 178, 01051 (2020) [EDP Sciences] [Google Scholar]

[10] R.G. Minullin, V.A. Kasimov, P.V. Kononcev, Locational sensing equipment for detecting ice and damage on transmission lines, Proceedings - 2020 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2020 9112061 (2020) [Google Scholar]

[11] D.A. Yaroslavsky, D.A. Ivanov, V. Nguyen, V. Wire Torsion measurement for the tasks of monitoring of the mechanical state of overhead power transmission line, Proceedings - 2020 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2020 9111999 (2020) [Google Scholar]

[12] D. Ivanov, M. Sadykov, A. Golenishchev Kutuzov, A., (…), T. Galieva, A. Arslanov, The application of the technology of sensor networks for the intellectualization of the overhead power transmission lines, E3S Web of Conferences 220, 01071 (2020) [EDP Sciences] [Google Scholar]

[13] I. Ullah, R.U. Khan, F. Yang, L. Wuttisittikulkij, Deep Learning Image-Based Defect Detection in High Voltage Electrical Equipment, Energies, 13, 392 (2020) [Google Scholar]

[14] Y. Chou, L. Yao, Automatic Diagnostic System of Electrical Equipment Using Infrared Thermography, 2009 International Conference of Soft Computing and Pattern Recognition, Malacca, 155–160 (2009) DOI: 10.1109/SoCPaR.2009.41 [Google Scholar]

[15] H.Q. Zhao, Infrared weak and small target extraction algorithm based on regional feature segmentation, Laser Infrared, 46, 308–312 (2016) [Google Scholar]

[16] Z.H. Peng, S. Yang, Z.S. Wang, et al, Infrared target extraction based on mathematical morphology and automatic region growing, Infrared Technol., 36, 47–52 (2014) [Google Scholar]

[17] X.G. Lu, An efficient infrared target extraction algorithm combined with radiation features, Laser Infrared, 46, 634–638 (2016) [Google Scholar]

[18] Y. Wang, Y. Yin, J. Ren, Research on thermal state diagnosis of substation equipment based on infrared image, Advances in Mechanical Engineering (April 2019) DOI: 10.1177/1687814019828551 [Google Scholar]

[19] A.D. Zaripova, D.K. Zaripov, A.E. Usachev, Criteria for equipment defects for thermal power substation control system, Power engineering: research, equipment, technology, 19 (5-6), 51–57 (2017) (in Russian) DOI: 10.30724/1998-99032017-19-5-6-51-57 [Google Scholar]

[20] Y. Hu, K. Liu, Inspection and monitoring technologies of transmission lines with remote sensing (2017) ISBN: 978-0-12-812644-8 [Google Scholar]

[21] R.M. Aleev, D.K. Zaripov, Method for remote diagnostics of multi-element insulating structure, RF Pat. 2305848, 10.09.2007 (2008). [Google Scholar]