This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Long, L. (2022). Research on status information monitoring of power equipment based on Internet of Things. Energy Reports, 8, 281-286.LongL. (2022). Research on status information monitoring of power equipment based on Internet of Things. Energy Reports, 8, 281-286.Search in Google Scholar
Tan, Y., Zhou, L., Xue, X., & Duan, B. (2023). Exploration of Key Technologies for Equipment Operation and Maintenance Based on New Power Systems. International Journal of Thermofluids, 20, 100482.TanY.ZhouL.XueX. & DuanB. (2023). Exploration of Key Technologies for Equipment Operation and Maintenance Based on New Power Systems. International Journal of Thermofluids, 20, 100482.Search in Google Scholar
Li, S., & Li, J. (2017). Condition monitoring and diagnosis of power equipment: review and prospective. High Voltage, 2(2), 82-91.LiS. & LiJ. (2017). Condition monitoring and diagnosis of power equipment: review and prospective. High Voltage, 2(2), 82-91.Search in Google Scholar
Zhao, S., & Zhao, H. (2024). Intelligent Power Equipment for Autonomous Situational Awareness and Active Operation and Maintenance. Journal of Modern Power Systems and Clean Energy.ZhaoS. & ZhaoH. (2024). Intelligent Power Equipment for Autonomous Situational Awareness and Active Operation and Maintenance. Journal of Modern Power Systems and Clean Energy.Search in Google Scholar
Chunyan, W., Ye, L., Fei, X., & Minghui, J. (2021, June). Research on operation and maintenance management and control technology of power monitoring system based on personnel operation and equipment status evaluation. In 2021 6th International Symposium on Computer and Information Processing Technology (ISCIPT) (pp. 474-479). IEEE.ChunyanW.YeL.FeiX. & MinghuiJ. (2021, June). Research on operation and maintenance management and control technology of power monitoring system based on personnel operation and equipment status evaluation. In 2021 6th International Symposium on Computer and Information Processing Technology (ISCIPT) (pp. 474-479). IEEE.Search in Google Scholar
Ma, Y., Lu, X., Hong, L., He, X., Qiu, M., Tang, M., & Chen, L. (2024). Research of IoT Technology Based Online Status Monitoring on Hydropower Station Equipment: Research of IoT Technology Based Online Status Monitoring. EAI Endorsed Transactions on Scalable Information Systems, 11(5).MaY.LuX.HongL.HeX.QiuM.TangM. & ChenL. (2024). Research of IoT Technology Based Online Status Monitoring on Hydropower Station Equipment: Research of IoT Technology Based Online Status Monitoring. EAI Endorsed Transactions on Scalable Information Systems, 11(5).Search in Google Scholar
Yanxia, Z., Jie, S., Linlin, Y., & Zhao, Z. (2023, October). Evaluation on Power Equipment Operation Status Monitoring System Based on Data Mining. In 2023 IEEE 3rd International Conference on Data Science and Computer Application (ICDSCA) (pp. 1447-1451). IEEE.YanxiaZ.JieS.LinlinY. & ZhaoZ. (2023, October). Evaluation on Power Equipment Operation Status Monitoring System Based on Data Mining. In 2023 IEEE 3rd International Conference on Data Science and Computer Application (ICDSCA) (pp. 1447-1451). IEEE.Search in Google Scholar
Wang, J., Ou, J., Fan, Y., Cai, L., & Zhou, M. (2022). Online monitoring of electrical equipment condition based on infrared image temperature data visualization. IEEJ Transactions on Electrical and Electronic Engineering, 17(4), 583-591.WangJ.OuJ.FanY.CaiL. & ZhouM. (2022). Online monitoring of electrical equipment condition based on infrared image temperature data visualization. IEEJ Transactions on Electrical and Electronic Engineering, 17(4), 583-591.Search in Google Scholar
Chen, W., Zhao, G., Wang, J., Qian, B., & Dou, W. (2023). Power supply station equipment status monitoring and evaluation system based on wireless network technology. International Journal of Thermofluids, 20, 100514.ChenW.ZhaoG.WangJ.QianB. & DouW. (2023). Power supply station equipment status monitoring and evaluation system based on wireless network technology. International Journal of Thermofluids, 20, 100514.Search in Google Scholar
Fabricio, M. A., Behrens, F. H., & Bianchini, D. (2020). Monitoring of industrial electrical equipment using IoT. IEEE Latin America Transactions, 18(08), 1425-1432.FabricioM. A.BehrensF. H. & BianchiniD. (2020). Monitoring of industrial electrical equipment using IoT. IEEE Latin America Transactions, 18(08), 1425-1432.Search in Google Scholar
Zhao, J., & Yue, X. (2020). Condition monitoring of power transmission and transformation equipment based on industrial internet of things technology. Computer Communications, 157, 204-212.ZhaoJ. & YueX. (2020). Condition monitoring of power transmission and transformation equipment based on industrial internet of things technology. Computer Communications, 157, 204-212.Search in Google Scholar
Babak, V. P., Babak, S. V., Eremenko, V. S., Kuts, Y. V., Myslovych, M. V., Scherbak, L. M., ... & Zaporozhets, A. O. (2021). Models and measures for the diagnosis of electric power equipment. Models and Measures in Measurements and Monitoring, 99-126.BabakV. P.BabakS. V.EremenkoV. S.KutsY. V.MyslovychM. V.ScherbakL. M. ... & ZaporozhetsA. O. (2021). Models and measures for the diagnosis of electric power equipment. Models and Measures in Measurements and Monitoring, 99-126.Search in Google Scholar
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(1), 6255277.LeiT.LvF.LiuJ. & FengJ. (2022). Research on electrical equipment monitoring and early warning system based on Internet of things technology. Mathematical Problems in Engineering, 2022(1), 6255277.Search in Google Scholar
Lv, Q. (2018, May). Research on state monitoring technology for power equipment based on Internet of things. In 2018 International Conference on Robots & Intelligent System (ICRIS) (pp. 110-113). IEEE.LvQ. (2018, May). Research on state monitoring technology for power equipment based on Internet of things. In 2018 International Conference on Robots & Intelligent System (ICRIS) (pp. 110-113). IEEE.Search in Google Scholar
Dai, J., Song, H., Sheng, G., & Jiang, X. (2017). Cleaning method for status monitoring data of power equipment based on stacked denoising autoencoders. Ieee Access, 5, 22863-22870.DaiJ.SongH.ShengG. & JiangX. (2017). Cleaning method for status monitoring data of power equipment based on stacked denoising autoencoders. Ieee Access, 5, 22863-22870.Search in Google Scholar
Choi, C., Esposito, C., Wang, H., Liu, Z., & Choi, J. (2018). Intelligent power equipment management based on distributed context-aware inference in smart cities. IEEE Communications Magazine, 56(7), 212-217.ChoiC.EspositoC.WangH.LiuZ. & ChoiJ. (2018). Intelligent power equipment management based on distributed context-aware inference in smart cities. IEEE Communications Magazine, 56(7), 212-217.Search in Google Scholar
Wu, G., Yu, M., Shi, W., Li, S., & Bao, J. (2020). Image recognition in online monitoring of power equipment. International Journal of Advanced Robotic Systems, 17(1), 1729881419900836.WuG.YuM.ShiW.LiS. & BaoJ. (2020). Image recognition in online monitoring of power equipment. International Journal of Advanced Robotic Systems, 17(1), 1729881419900836.Search in Google Scholar
Chen, A., Li, X., & Yin, L. (2024, March). Monitoring method for power equipment operation condition based on data warehouse. In Journal of Physics: Conference Series (Vol. 2717, No. 1, p. 012041). IOP Publishing.ChenA.LiX. & YinL. (2024, March). Monitoring method for power equipment operation condition based on data warehouse. In Journal of Physics: Conference Series (Vol. 2717, No. 1, p. 012041). IOP Publishing.Search in Google Scholar
Geng, S., & Wang, X. (2022). Predictive maintenance scheduling for multiple power equipment based on data-driven fault prediction. Computers & Industrial Engineering, 164, 107898.GengS. & WangX. (2022). Predictive maintenance scheduling for multiple power equipment based on data-driven fault prediction. Computers & Industrial Engineering, 164, 107898.Search in Google Scholar
Guo, Z., Guo, J., Bao, C., Zhang, T., & Li, M. (2023, September). Construction of Power Equipment Running Status Monitoring System Based on Infrared Temperature Measurement Technology and Big Data Algorithm. In 2023 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC) (pp. 250-254). IEEE.GuoZ.GuoJ.BaoC.ZhangT. & LiM. (2023, September). Construction of Power Equipment Running Status Monitoring System Based on Infrared Temperature Measurement Technology and Big Data Algorithm. In 2023 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC) (pp. 250-254). IEEE.Search in Google Scholar
Li, Q., Zhang, Y., Zhang, Z., & Li, Z. (2024). Operation monitoring platform of relay protection equipment at distribution network side under the background of new power system. Energy Informatics, 7(1), 145.LiQ.ZhangY.ZhangZ. & LiZ. (2024). Operation monitoring platform of relay protection equipment at distribution network side under the background of new power system. Energy Informatics, 7(1), 145.Search in Google Scholar
Yu, L., Nazir, B., & Wang, Y. (2020). Intelligent power monitoring of building equipment based on Internet of Things technology. Computer Communications, 157, 76-84.YuL.NazirB. & WangY. (2020). Intelligent power monitoring of building equipment based on Internet of Things technology. Computer Communications, 157, 76-84.Search in Google Scholar
Wang, L., Wang, D., & Li, W. (2021, July). Research on Big Data Query Optimization Method of Power System Substation Equipment Condition Monitoring. In 2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) (pp. 1479-1483). IEEE.WangL.WangD. & LiW. (2021, July). Research on Big Data Query Optimization Method of Power System Substation Equipment Condition Monitoring. In 2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) (pp. 1479-1483). IEEE.Search in Google Scholar
Zhou, G. P., Luo, H. H., Ge, W. C., Ma, Y. L., Qiu, S., & Fu, L. N. (2019). Design and application of condition monitoring for power transmission and transformation equipment based on smart grid dispatching control system. The Journal of Engineering, 2019(16), 2817-2821.ZhouG. P.LuoH. H.GeW. C.MaY. L.QiuS. & FuL. N. (2019). Design and application of condition monitoring for power transmission and transformation equipment based on smart grid dispatching control system. The Journal of Engineering, 2019(16), 2817-2821.Search in Google Scholar