Detection of power quality disturbances using wavelet transform and artificial neural network-Reference-Cited by-同舟云学术

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Detection of power quality disturbances using wavelet transform and artificial neural network

Published:2014-07 Issue: Volume: Page:
ISSN:
Container-title:2014 Annual International Conference on Emerging Research Areas: Magnetics, Machines and Drives (AICERA/iCMMD)
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Author:

Kamble Saurabh,Dupare Ishita

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6895220/6908154/06908252.pdf?arnumber=6908252

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Perception of power quality disturbances using Fourier, Short-Time Fourier, continuous and discrete wavelet transforms;Scientific Reports;2024-02-11

2. Enhancing reliability and efficiency of grid-connected solid-state transformer through fault detection and classification using wavelet transform and artificial neural network;Electrical Engineering;2023-11-02

3. Kurtosis-Skewness Scanning and Machine Learning-based Discrimination of Fault Location in Radial Power Distribution Network;2023 International Conference on Power Electronics and Energy (ICPEE);2023-01-03

4. Study of the Bus Voltage Magnitude to Monitor Power Quality in the Distribution System;2022 IEEE Electrical Power and Energy Conference (EPEC);2022-12-05

5. Stockwell Transform and Hilbert Transform Based Hybrid Algorithm for Recognition of Power Quality Disturbances;Algorithms for Intelligent Systems;2020-12-02

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