Zero-Crossing Point Detection of Sinusoidal Signal in Presence of Noise and Harmonics Using Deep Neural Networks
Zero-crossing point detection is necessary to establish a consistent performance in various power system applications, such as grid synchronization, power conversion and switch-gear protection. In this paper, zero-crossing points of a sinusoidal signal are detected using deep neural networks. In ord...
Enregistré dans:
Auteurs principaux: | Venkataramana Veeramsetty, Bhavana Reddy Edudodla, Surender Reddy Salkuti |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/ea2efd7086f748b6a4b81b6c08d1bfc0 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
EDITORIAL: New Horizon for Industrial Engineering and Management
par: Ugljesa Marjanovic
Publié: (2021) -
Forty's years of quantitative research in China: Retrospectives and perspectives
par: Zongwu Cai, et autres
Publié: (2021) -
Editorial Board
Publié: (2021) -
Application of the Sinusoidal Voltage for Detection of the Resonance in Inductive Voltage Transformers
par: Michal Kaczmarek, et autres
Publié: (2021) -
Cadena de suministros para la exportación de granos andinos a Estados Unidos
par: José Enrique Guardián-Sedano, et autres
Publié: (2019)