Výsledky vyhledávání - "Seongwook Hwangbo"

Akademický článek

Locating Partial Discharges in Power Transformers with Convolutional Iterative Filtering

Autor: Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo

Publikováno v: Sensors, Vol 23, Iss 4, p 1789 (2023)

The most common source of transformer failure is in the insulation, and the most prevalent warning signal for insulation weakness is partial discharge (PD). Locating the positions of these partial discharges would help repair the transformer to preve

Externí odkaz: https://doaj.org/article/c717f3b201ad4d6dae764d671321a4bf

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Convolutional filtering for accurate signal timing from noisy streaming data

Autor: Alex Sim, Kesheng Wu, Jonathan Wang, Seongwook Hwangbo

Publikováno v: DASC/PiCom/DataCom/CyberSciTech

Our society depends heavily on the electric power infrastructure. To ensure its reliability, key power grid components such as transformers are extensively monitored for signs of failures and errors. This work concentrates on a type of event known as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56814a6e9b464a814031791ba172f35e
https://escholarship.org/uc/item/82t7m8qw

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Accurate Signal Timing from High Frequency Streaming Data

Autor: Seongwook Hwangbo, Jonathan Wang, Alex Sim, Kesheng Wu

Publikováno v: IEEE BigData

The goal of our study is to analyze massive high-frequency streaming sensor data to accurately locate the source of partial discharges (PD) in transformers. The PD signal is collected by ultra-high frequency sensors at a resolution of 0.4 ns per reco

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::750ecc547c4dfbdbb7546582face398e
https://escholarship.org/uc/item/16t9m681

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