A Hilbert Transform-Based Smart Sensor for Detection, Classification, and Quantification of Power Quality Disturbances-Reference-Cited by-同舟云学术

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A Hilbert Transform-Based Smart Sensor for Detection, Classification, and Quantification of Power Quality Disturbances

Published:2013-04-25 Issue:5 Volume:13 Page:5507-5527
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Granados-Lieberman David,Valtierra-Rodriguez Martin,Morales-Hernandez Luis,Romero-Troncoso Rene,Osornio-Rios Roque

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

http://www.mdpi.com/1424-8220/13/5/5507/pdf

Reference34 articles.

1. Power Quality Indices in Liberalized Markets;Caramia,2009

2. Techniques and methodologies for power quality analysis and disturbances classification in power systems: A review;Granados-Lieberman;IET Gen. Trans. Distrib.,2011

3. Wavelet transform as an alternative to the short-time Fourier transform for the study of conducted noise in power electronics;Coppola;IEEE Trans. Ind. Electron.,2008

4. A virtual measurement instrument for electrical power quality analysis using wavelets;Barros;Measurement,2009

5. Wavelet-based neural network for power disturbance recognition and classification;Zwe-Lee;IEEE Trans. Power Del.,2004

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1. Power quality disturbance signal segmentation and classification based on modified BI‐LSTM with double attention mechanism;IET Generation, Transmission & Distribution;2023-12-21

2. Real-Time Power Quality Event Monitoring System Using Digital Signal Processor for Smart Metering Applications;Journal of Electrical Engineering & Technology;2023-03-02

3. Classification of Power Quality Disturbances using the Unique Combination of Hilbert Transform, Image Processing and K-Nearest Neighbor;2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS);2022-11-18

4. Active 2D-DNA Fingerprinting of WirelessHART Adapters to Ensure Operational Integrity in Industrial Systems;Sensors;2022-06-29

5. Adaptive Salp Swarm Algorithm as Optimal Feature Selection for Power Quality Disturbance Classification;Applied Sciences;2021-06-18

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