Research on visualization monitoring technology of vulnerable high-voltage electrical equipment in substation based on BP artificial neural network

[1] Peake, L. (2018). Substation battery testing and monitoring. Electrical engineering(Jul/Aug). Search in Google Scholar

[2] Azeem, A., Malik, H., & Jamil, M. (2021). Real-time harmonics analysis of digital substation equipment based on iec-61850 using hybrid intelligent approach. Journal of Intelligent and Fuzzy Systems(6), 1-14. Search in Google Scholar

[3] Mostafavi, S., & Mousavimajd, S. (2024). Providing a combined solution to reduce very fast transient overvoltages in gas insulated substations. Electric Power Systems Research(Mar.), 228. Search in Google Scholar

[4] Araujo, P. R. C., Holanda Filho, R., Rodrigues, J. J. P. C., Oliveira, J. P. C. M., & Braga, S. A. (2017). Middleware for integration of legacy electrical equipment into smart grid infrastructure using wireless sensor networks. International Journal of Communication Systems, 31(1), e3380.1-e3380.15. Search in Google Scholar

[5] Malhotra, R., Mcleod, E., & Alzahawi, T. (2021). Management and maintenance of electrical equipment in industrial facilities: procedures for improving safety while saving money. IEEE industry applications magazine(1), 27. Search in Google Scholar

[6] Jeong, S., An, Y. Y., Kang, H., Shim, T., & Kim, S. H. (2020). An iot standards-based electrical equipment status monitoring system supporting modbus/ocf bridging. Transactions of the Korean Institute of Electrical Engineers, 69(1), 217-224. Search in Google Scholar

[7] Zhiguo, T., Mingze, T., Jinzhong, L. I., Jianyi, W., Chao, W. U., & Ke, W. (2017). Review on partial discharge pattern recognition of electrical equipment. High Voltage Engineering, 43(7), 2263-2277. Search in Google Scholar

[8] Lei, T., Lv, F., Liu, J., & Feng, J. (2022). Research on electrical equipment monitoring and early warning system based on internet of things technology. Mathematical Problems in Engineering, 2022. Search in Google Scholar

[9] Menniti, Daniele, Pinnarelli, Anna, Scarcello, & Luigi, et al. (2019). A unified model for the optimal management of electrical and thermal equipment of a prosumer in a dr environment. IEEE Transactions on Smart Grid. Search in Google Scholar

[10] Xu, Y., Han, X., Wang, Y., Yang, M., & Wang, M. (2018). Electrical equipment condition-based maintenance decision model considering decision adjusted with performance. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 38(5), 1457-1466. Search in Google Scholar

[11] Cho, Chang, & Sung. (2020). Application of tuned mass damper to mitigation of the seismic responses of electrical equipment in nuclear power plants. Energies, 13(2), 427. Search in Google Scholar

[12] Ullah, I., Khan, R. U., Yang, F., & Wuttisittikulkij, L. (2020). Deep learning image-based defect detection in high voltage electrical equipment. Energies, 13(2), 392-. Search in Google Scholar

[13] Cesar, E. L., Fernandes, G. S., Kagami, M. T. N., & Calisto, T. N. (2020). Technological obsolescence management of electrical equipment and automation systems. IEEE Industry Applications Magazine, PP(99). Search in Google Scholar

[14] Niu, Z., Reformat, M., Tang, W., & Zhao, B. (2020). Electrical equipment identification method with synthetic data using edge-oriented generative adversarial network. IEEE Access, PP(99), 1-1. Search in Google Scholar

[15] Wang, X., Guo, Z., Chen, J., Liu, N., & Fang, W. (2019). Detection algorithm of friction and wear state of large mechanical and electrical equipment in coal mine based on c-svc. International Journal of Performability Engineering, 15(3), 813-821. Search in Google Scholar

[16] Gertsyk, S. M., Gyzhko, Y. I., Zvarich, V. M., Myslovych, M. V., & Sysak, R. M. (2018). Use of autonomous measuring systems for diagnosing of electrical equipment with regard to its operating modes. Technical Electrodynamics, 2018(5), 116-120. Search in Google Scholar

[17] Xie, J., Liu, C. C., Sforna, M., Bilek, M., & Hamza, R. (2016). On-line physical security monitoring of power substations. International Transactions on Electrical Energy Systems, 26(6), 1148-1170. Search in Google Scholar

[18] Pal, D., Meyur, R., Menon, S., Reddy, M. J. B., & Mohanta, D. K. (2017). Real time condition monitoring of substation equipment using thermal cameras. Iet Generation Transmission & Distribution, 12(4), 895-902. Search in Google Scholar

[19] Zhong, J., Li, W., Billinton, R., & Yu, J. (2015). Incorporating a condition monitoring based aging failure model of a circuit breaker in substation reliability assessment. Journal of Guizhou Normal College, 30(6), 3407-3415. Search in Google Scholar

[20] Qin, Z., Xu, Z. D., Sun, Q. C., Poovendran, P., & Balamurugan, P. (2023). Investigation of intelligent substation inspection robot by using mobile data. International journal of humanoid robotics. Search in Google Scholar

[21] Ma, H., Zhang, W., Cui, X., An, B., Jin, Y., & Cheng, K. (2015). Substation electromagnetic environment of electric power communication equipment and characteristic parameters. Journal of Coastal Research. Search in Google Scholar

[22] Fabricio, M. A., Behrens, F. H., & Bianchini, D. (2020). Monitoring of industrial electrical equipment using iot. IEEE Latin America Transactions, 18(8), 1425-1432. Search in Google Scholar