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A Robust Architecture Based on Adaptive Recursive Filter for Gigabit Communications Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Pattern Recognition of Time-Varying Signals Using Ensemble Classifiers

Authors : M. Venkata Subbarao, Sudheer Kumar Terlapu, V. V. S. S. S. Chakravarthy, Suresh Chandra Satapaty

Published in: Microelectronics, Electromagnetics and Telecommunications

Publisher: Springer Singapore

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Abstract

A new classification approach for time-varying power quality (PQ) signals using ensemble classifiers (EC) is proposed in this paper. To achieve high performance, existing expert systems require several signal features so that these systems have more computational complexity. In order to reduce the computational cost and to improve the accuracy further, a new set of features called moments and cumulants are introduced in this paper to classify PQ events. Further, the performance of various ensemble classifiers is analyzed with the proposed feature set. Moreover, the analysis is carried out with different training and testing rates. Finally, the performance comparison is made with that of the existing techniques to prove the superiority of the proposed features and classifiers.

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Metadata
Title
Pattern Recognition of Time-Varying Signals Using Ensemble Classifiers
Authors
M. Venkata Subbarao
Sudheer Kumar Terlapu
V. V. S. S. S. Chakravarthy
Suresh Chandra Satapaty
Copyright Year
2021
Publisher
Springer Singapore
Book
Microelectronics, Electromagnetics and Telecommunications

Print ISBN: 978-981-15-3827-8

Electronic ISBN: 978-981-15-3828-5

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-3828-5_76