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2021 | OriginalPaper | Chapter

Fault Transient Signal Analysis of UHV Transmission Line Based on Wavelet Transform and Prony Algorithm

Authors : Mingjiu Pan, Chenlin Gu, Zhifang Yu, Jun Shan, Bo Liu, Hanqing Wu, Di Zheng

Published in: Big Data Analytics for Cyber-Physical System in Smart City

Publisher: Springer Singapore

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Abstract

In this paper, the Mallat signal analysis of wavelet transform is used to segment the signal, and then Prony algorithm is used to fit the segmentation algorithm. This method has the advantages of clear section distinction, strong anti-interference, fast calculation response and strong robustness. In the verification stage, the anti-interference robustness of the wavelet is tested by adding noise signals with different signal-to-noise ratio, and the ideal segmentation results are obtained by using wavelet analysis. Prony algorithm can be used to analyze and calculate each sub segment according to the segmentation.

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Metadata
Title
Fault Transient Signal Analysis of UHV Transmission Line Based on Wavelet Transform and Prony Algorithm
Authors
Mingjiu Pan
Chenlin Gu
Zhifang Yu
Jun Shan
Bo Liu
Hanqing Wu
Di Zheng
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-33-4572-0_42

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