Robust detection of real-time power quality disturbances under noisy condition using FTDD features-Reference-Cited by-同舟云学术

Robust detection of real-time power quality disturbances under noisy condition using FTDD features

Published:2019-01-02 Issue:1 Volume:60 Page:11-18
ISSN:0005-1144
Container-title:Automatika
language:en
Short-container-title:Automatika

Author:

Jeba Singh O.¹^ORCID,Prince Winston D.²^ORCID,Chitti Babu B.³^ORCID,Kalyani S.²^ORCID,Praveen Kumar B.²^ORCID,Saravanan M.⁴^ORCID,Cynthia Christabel S.⁵^ORCID

Affiliation:

1. Department of EEE, Arunachala College of Engineering for Women, Vellichanthai, Tamil Nadu, India

2. Department of EEE, Kamaraj College of Engineering and Technology, Virudhunagar, Tamil Nadu, India

3. Department of EEE, The University of Nottingham(U.K), Selangor, Malaysia

4. Department of EEE, Thiagarajar College of Engineering, Madurai, Tamil Nadu, India

5. Department of ECE, Kamaraj College of Engineering and Technology, Virudhunagar, Tamil Nadu, India

Publisher

Informa UK Limited

Subject

General Computer Science,Control and Systems Engineering

Link

https://tandfonline.com/doi/pdf/10.1080/00051144.2019.1565337

Reference24 articles.

1. Techniques and methodologies for power quality analysis and disturbances classification in power systems: a review

2. Wavelet Transform as an Alternative to the Short-Time Fourier Transform for the Study of Conducted Noise in Power Electronics

3. An effective wavelet-based feature extraction method for classification of power quality disturbance signals

4. A Real-Time Power Quality Disturbances Classification Using Hybrid Method Based on S-Transform and Dynamics

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