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- W2920346726 abstract "IoT-based diagnosis is proposed and expected to be an ideal solution for distributed sensing of partial discharge for various equipment such as switchgear, power cable and transformer. In this paper, an IoT-based HFCT sensing network is proposed for partial discharge diagnosis. It goes into detail about the essential units of the sensor node including signal coupling, power management and data communication. With this proposed sensor, IoT-based partial discharge sensing network is built with details involving the operation strategy, energy consumption and Lora/NB-IoT-based network structures. This kind of condition monitoring is expected to be a reference for more possible IoT applications in MV power grid." @default.
- W2920346726 created "2019-03-11" @default.
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- W2920346726 date "2018-12-07" @default.
- W2920346726 modified "2023-09-24" @default.
- W2920346726 title "IoT-Based HFCT Sensing Network for Partial Discharge Diagnosis" @default.
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- W2920346726 doi "https://doi.org/10.1145/3148453.3306252" @default.
- W2920346726 hasPublicationYear "2018" @default.
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