A Generalized Classification Framework for Power Quality Disturbances Based on Synchrosqueezed Wavelet Transform and Convolutional Neural Networks-Reference-Cited by-同舟云学术

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A Generalized Classification Framework for Power Quality Disturbances Based on Synchrosqueezed Wavelet Transform and Convolutional Neural Networks

Published:2023 Issue: Volume:72 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Vishwanath Y. S. Upendra¹^ORCID,Esakkirajan S.¹^ORCID,Keerthiveena B.²^ORCID,Pachori Ram Bilas³^ORCID

Affiliation:

1. Department of Instrumentation and Control Systems Engineering, PSG College of Technology, Tamil Nadu, Coimbatore, India

2. School of Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi, India

3. Department of Electrical Engineering, Indian Institute of Technology Indore, Indore, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10229233.pdf?arnumber=10229233

Reference59 articles.

1. Applications of the windowed FFT to electric power quality assessment

2. A hybrid BPSO‐SVM for feature selection and classification of ocular health

3. A novel deep learning method for the classification of power quality disturbances using deep convolutional neural network

4. A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

5. Detection and measurement of power quality disturbances using wavelet transform

Cited by 3 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. Power quality disturbance signal classification in microgrid based on kernel extreme learning machine;Electronics Letters;2024-08

2. High-Accuracy Transfer Learning-Based Power Quality Disturbance Recognition Under A Noisy Environment;2024 28th International Electrical Power Distribution Conference (EPDC);2024-04-23

3. Dynamic Power Quality Disturbance Classification in Grid-Integrated PV Systems: Leveraging Clark Transformed Modal Voltage and Subspace Weighted KNN;IEEE Access;2024

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