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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This work was supported by SGZJJY00PSJS2000056.
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Pan, M. et al. (2021). Fault Transient Signal Analysis of UHV Transmission Line Based on Wavelet Transform and Prony Algorithm. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_42
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DOI: https://doi.org/10.1007/978-981-33-4572-0_42
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