What is it about?
Singular Spectrum Analysis, compressed sensing and deep neural networks have been discussed for monitoring and classification of single and multiple-combined Power Quality Disturbances.
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Why is it important?
The simulation and experimental results demonstrate that the SSA based Deep Neural Network classifier has a significantly higher potential than the WT based classifier to classifying the power quality events under without noise and noisy conditions
Perspectives
Writing this article was a great pleasure as it has co-authors with whom I have had long standing collaborations. This article also lead to Electrical Engineering latest research area and ultimately to a greater involvement in power quality research.
Sheikh Junaid Yawar
Sir Syed University of Engineering and Technology
Read the Original
This page is a summary of: Signal Processing and Deep Learning Techniques for Power Quality Events Monitoring and Classification, Electric Power Components and Systems, October 2019, Taylor & Francis,
DOI: 10.1080/15325008.2019.1666178.
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