Advanced signal processing and machine learning techniques for voltage sag causes detection in an electric power system-Reference-Cited by-同舟云学术

Advanced signal processing and machine learning techniques for voltage sag causes detection in an electric power system

Published:2019-09-02 Issue:1 Volume:30 Page:
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:Int Trans Electr Energ Syst

Author:

Mishra Manohar¹^ORCID,Panigrahi Rasmi Ranjan²

Affiliation:

1. Department of Electrical and Electronics Engineering Institute of Technical Education and Research, Siksha 'O' Anusandhan University Bhubaneswar Odisha 751030 India

2. Department of Electrical Engineering ITER, Siksha 'O' Anusandhan (Deemed to be University) Bhubaneswar Odisha 751030 India

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.12167

Reference29 articles.

1. Voltage sag disturbance detection based on RMS voltage method;Ding N;Conf APPEEC 2009,2009

2. Disturbance source identification of voltage sags based on Hilbert‐Huang transform. In Power and Energy Engineering Conference (APPEEC);Yang L;2010 Asia‐Pacific,2010

3. Power quality disturbance detection and classification using signal processing and soft computing techniques: a comprehensive review;Mishra M;Int J Electr PowerEnergy Syst,2019

4. A new approach to voltage sag detection based on wavelet transform

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