Abstract
Power equipment is of great importance to the power of things, the operation of equipment directly impact on the safety and stability of the power of things. Therefore, it is important to ensure secure and stable operation of the power grid by prejudging monitoring, observing and fault diagnosis of power equipment. A fault diagnosis method of power equipment based on the technology of power internet of things and KNN algorithm is proposed in this paper. Through the real-time sensing and data acquisition of the basic equipment status in power network operation, the equipment status is analyzed and prejudged, which can provide alarm signals of the equipment to avoid greater security risk.
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Acknowledgements
This work is supported by the Science and Technology Research Project of State Grid Corporation of China (526816160024).
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Yu, H., Wu, Q., Lu, Y., Hu, C., Wang, Y., Liu, G. (2018). Research on Fault Diagnosis of Power Transformer Equipment Based on KNN Algorithm. In: Qiao, F., Patnaik, S., Wang, J. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2017. Advances in Intelligent Systems and Computing, vol 691. Springer, Cham. https://doi.org/10.1007/978-3-319-70990-1_25
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DOI: https://doi.org/10.1007/978-3-319-70990-1_25
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