Recommended Wavelet Based Practices for the Estimation of Electromagnetic Noise in Different Operational Contexts

Nicolae, Ileana Diana; Kostic, Dusan; Nicolae, Petre-Marian; Nicolae, Marian-Stefan

doi:10.1109/emcsi39492.2022.9889407

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…Therefore, in order to improve the denoising effect of real-time filtering, it is necessary to select the wavelet that supports a short time and fast processing speed. Daubechies wavelets have better orthogonality and tight support, which are very suitable characteristics for this scenario [17,18]. Which Daubechies wavelet is adopted is one of the problems that need to be solved.…”

Section: Selection Of Wavelet Bases and Decomposition Layersmentioning

confidence: 99%

A Wavelet Transform-Based Real-Time Filtering Algorithm for Fusion Magnet Power Signals and Its Implementation

et al. 2023

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With high real-time performance and a good filtering effect, the wavelet transform-based real-time filter is more commonly used in the fusion magnet power supply. Considering the signal characteristics of the fusion magnet power supply, the sliding time window method is widely used to satisfy the requirements of filtering efficiency. In this paper, an updated half-edge extension method is proposed to improve the boundary effect of sliding window data. Moreover, the hardware-based wavelet loopback structure is proposed to avoid the double computation of long sliding window data, thereby improving real-time performance and satisfying the demands of fusion magnet power supply filtering. The proposed half-edge extension method and the wavelet loopback structure are implemented by designed FPGA and experimented on the Experimental and Advanced Superconducting Tokamak (EAST) fusion magnet power supply system to verify the filtering efficiency. According to the experiment’s results, the proposed half-edge extension method has a better filtering effect, and the proposed wavelet loopback structure decreases the time by 67.4%, which can satisfy the requirements of the power supply system.

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Section: Selection Of Wavelet Bases and Decomposition Layersmentioning

confidence: 99%

A Wavelet Transform-Based Real-Time Filtering Algorithm for Fusion Magnet Power Signals and Its Implementation

et al. 2023

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“…A denoising technique available in Matlab by means of the function wden can also be used [10], [11]. Previous studies of authors [8], [9] helped in establishing the values of the parameters of this function used in the approached operational context (artificial test signals with rich harmonic content and notches, acquired signals with 700 samples per period). These values are: soft trasholding technique, per-level reevaluation of the noise level in the wavelet tree and a Daubechy wavelet mother with a filter of length 28 (‚db14').…”

Section: Introductionmentioning

confidence: 99%

Comparison of commercial and original methods for denoising electrical waveforms with constant or linearly variable magnitudes

et al. 2022

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Acquired electrical waveforms can be affected by white noise. The 1-st part of the paper analysis deals with the denoising of multi-period steady signals by using 3 methods: mean signal method, an original method relying on wavelet packet trees and the method implemented by the wavelet-based Matlab function wden. The signal length influence over the mean signal method’s accuracy is studied. The results yielded by the other 2 methods are also analyzed considering signals with 7 periods. Afterward the wavelet-based methods are used to denoise segments of 7 periods with linearly variable magnitudes (ascending or descending) for 3 different slopes. Artificial test signals, with rich harmonic content, were used. They were polluted by sets of 10 white noises with different powers. Maximum absolute deviations and mean square root deviations were computed considering the original signals, before pollution, versus the corresponding denoised signal. The metrics were computed relative to the maximum absolute value of the noise and allowed to determine the most accurate method.

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Estimating Inductances of Coils with Ferromagnetic Cores with a Data Acquisition System in a Noisy Environment

Nicolae

Cirstea

et al. 2022

2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC)

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Recommended Wavelet Based Practices for the Estimation of Electromagnetic Noise in Different Operational Contexts

Cited by 4 publications

References 13 publications

A Wavelet Transform-Based Real-Time Filtering Algorithm for Fusion Magnet Power Signals and Its Implementation

A Wavelet Transform-Based Real-Time Filtering Algorithm for Fusion Magnet Power Signals and Its Implementation

Comparison of commercial and original methods for denoising electrical waveforms with constant or linearly variable magnitudes

Estimating Inductances of Coils with Ferromagnetic Cores with a Data Acquisition System in a Noisy Environment

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