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The Application of Visualized Monitoring of Partial Discharge in Power Equipment

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Application of Intelligent Systems in Multi-modal Information Analytics (ICMMIA 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 138))

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Abstract

In the context of the continuous development of modern smart substation technology, related equipment is becoming more and more intelligent, and the application of online monitoring technology in smart substations has become mature. The application of online visual monitoring technology for power transmission and transformation equipment can lay a good foundation for the visualization of smart grid equipment status. This paper studies the characteristics of the on-line visual monitoring technology of power transmission and transformation, and its application in the detection of partial discharge of power equipment.

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References

  1. Khelifa, H., Vagnon, E., Beroual, A.: AC breakdown voltage and partial discharge activity in synthetic ester-based fullerene and graphene nanofluids. IEEE Access 10, 5620–5634 (2022)

    Article  Google Scholar 

  2. Uwiringiyimana, J.P., Khayam, U., Suwarno, Montanari, G.C.: Design and implementation of ultra-wide band antenna for partial discharge detection in high voltage power equipment. IEEE Access 10, 10983–10994 (2022)

    Google Scholar 

  3. Hamelmann, P., Mischi, M., Kolen, A.F., Van Laar, J.O.E.H., Vullings, R., Bergmans, J.W.M.: Fetal heart rate monitoring implemented by dynamic adaptation of transmission power of a flexible ultrasound transducer array. Sensors 19(5), 1195 (2019)

    Google Scholar 

  4. Ahmed, S., Lee, Y., Hyun, S.H., Koo, I.: A cognitive radio-based energy-efficient system for power transmission line monitoring in smart grids. J. Sensors 12, 3862375:1–3862375 (2017)

    Google Scholar 

  5. Jadhav, A.R., Malyala, P.R.S.K., Rajalakshmi, P.: Development of a novel IoT-enabled power- monitoring architecture with real-time data visualization for use in domestic and industrial scenarios. IEEE Trans. Instrumen. Measur. 70, 1–14 (2021)

    Google Scholar 

  6. Gallucci, L., et al.: An embedded wireless sensor network with wireless power transmission capability for the structural health monitoring of reinforced concrete structures. Sensors 17(11), 2566 (2017)

    Article  Google Scholar 

  7. Liu, Z., Wang, M.X., Sun, G.: Research on the application of internet of things technology in the condition monitoring of power transmission and transformation equipment. Auto. Instrumen. 12(03), 171–173 (2017)

    Google Scholar 

  8. Wen, J.F., Sheng, H.H., Jiang, J.N.: Design and application of online monitoring system for relay protection of smart substation. Jiangsu Elec. Eng. 11(01), 212–224 (2015)

    Google Scholar 

  9. Sadiqbatcha, S., et al.: Post-silicon heat-source identification and machine-learning-based thermal modeling using infrared thermal imaging. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(4), 694–707 (2021)

    Article  Google Scholar 

  10. Feng, L.F., Sun, J., Zhou, J.H.: Implementation of ARM9-based network video surveillance system. Electric Power Auto. Equip. 26(10), 95–97 (2016)

    Google Scholar 

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Correspondence to Wei Chen .

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Chen, W., Wang, X., Li, H., Su, M. (2022). The Application of Visualized Monitoring of Partial Discharge in Power Equipment. In: Sugumaran, V., Sreedevi, A.G., Xu , Z. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. ICMMIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 138. Springer, Cham. https://doi.org/10.1007/978-3-031-05484-6_15

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