Zobrazeno 1 - 5
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pro vyhledávání: '"Rachna Vaish"'
Autor:
Rachna Vaish, Umakant Dhar Dwivedi
Publikováno v:
IEEE Access, Vol 12, Pp 94092-94115 (2024)
Numerous research works establish the high efficacy of Machine Learning (ML) based power system fault diagnosis over conventional analytical methods. The ongoing integration of renewable energy sources (RES) into the existing transmission networks al
Externí odkaz:
https://doaj.org/article/82876f81805c4720a97cf0ae7b29518b
Autor:
Rachna Vaish, U.D. Dwivedi
Publikováno v:
2021 4th International Conference on Recent Trends in Computer Science and Technology (ICRTCST).
Publikováno v:
Advanced Control for Applications. 3
Autor:
Saurabh Mani Tripathi, Rachna Vaish
Publikováno v:
IET Power Electronics. 12:1603-1615
The increased demand of induction machines in industries motivated the researchers to carry out their research on induction motor (IM) drives with a clear focus to achieve the wide range consistent control of speed and torque, as well as the stable o
Publikováno v:
Engineering Applications of Artificial Intelligence. 106:104504
Newer generation sources and loads are posing new challenges to the conventional power system protection schemes. Adaptive and intelligent protection methodology, based on advanced measurement techniques and intelligent fault diagnosis such as machin