Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Miguel Jimenez-Aparicio"'
Publikováno v:
IEEE Access, Vol 11, Pp 127255-127270 (2023)
This work provides a detailed protection analysis of a fast, Traveling-Wave (TW), Machine-Learning (ML), local, non-directional, economic, and setting-less protection scheme. The goal is to provide an objective evaluation of how a data-driven TW prot
Externí odkaz:
https://doaj.org/article/14d163aa843c4138b5d47bde98b23f20
Publikováno v:
IEEE Access, Vol 11, Pp 74201-74215 (2023)
This work proposes a signal-based fault location method combining both time and frequency-domain features. The method is based on the Traveling Wave (TW) detection and analysis, and only employs 100 microseconds of data around the TW time-of-arrival
Externí odkaz:
https://doaj.org/article/b89b2fd72943425983f21cb2daafe10e
Publikováno v:
2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd0a083fd8a2f10dd1050826aaebb431
https://doi.org/10.1109/isgt51731.2023.10066438
https://doi.org/10.1109/isgt51731.2023.10066438
Publikováno v:
2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e230d614a01a5ef912d0cfb8bda8733
https://doi.org/10.1109/uemcon54665.2022.9965716
https://doi.org/10.1109/uemcon54665.2022.9965716
Publikováno v:
2022 North American Power Symposium (NAPS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0319b4b469f845b72d699c490de0ec60
https://doi.org/10.1109/naps56150.2022.10012240
https://doi.org/10.1109/naps56150.2022.10012240
Publikováno v:
2022 North American Power Symposium (NAPS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57a5e9f56bf7a5b884661a84cbb26d13
https://doi.org/10.1109/naps56150.2022.10012195
https://doi.org/10.1109/naps56150.2022.10012195
Autor:
Miguel Jimenez Aparicio, Felipe Wilches-Bernal, Rachid Darbali-Zamora, John (Thad) Haines, David Schoenwald, S. M. Alam, Vahan Gevorgian, Weihang Yan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::644121aa516b554beaae79e078651f35
https://doi.org/10.2172/1887487
https://doi.org/10.2172/1887487
Autor:
Matthew Reno, Miguel Jimenez Aparicio, Felipe Wilches-Bernal, Javier Hernandez Alvidrez, Armando Montoya, Pedro Barba, Jack Flicker, Andrew Dow, Ali Bidram, Sajay Paruthiyil, Rudy Montoya, Binod Poudel, Benjamin Reimer, Olga Lavrova, Milan Biswal, Frank Miyagishima, Christopher Carr, Shubhasmita Pati, Satish Ranade, Santiago Grijalva, Shuva Paul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72fa8f9297a88222ca8c9da88aad4a21
https://doi.org/10.2172/1890046
https://doi.org/10.2172/1890046
Publikováno v:
2022 IEEE Power & Energy Society General Meeting (PESGM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b393a8a7fb70f14b2009255d894bf12a
https://doi.org/10.1109/pesgm48719.2022.9916834
https://doi.org/10.1109/pesgm48719.2022.9916834
Publikováno v:
2022 IEEE Kansas Power and Energy Conference (KPEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7fa54c85e104903c8d8550473bbb0f7
https://doi.org/10.1109/kpec54747.2022.9814801
https://doi.org/10.1109/kpec54747.2022.9814801