An Optimized Variational Mode Decomposition based Denoising Method for Fibre-optical Current Transformer

The reliability and effectiveness of fibre-optical current transformer (FOCT) is significantly affected by the noise interference from internal system components and external environment. Therefore, this paper proposes an optimized variational mode decomposition (OVMD) based denoising algorithm to i...

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Veröffentlicht in:Journal of physics. Conference series 2022-12, Vol.2378 (1), p.12041
Hauptverfasser: Huai, Qing, Ji, Yirun, Li, Yu, Song, Peng, Hu, Yinghong, Yuan, Xi, Zhao, Yuan, Gao, Jing, Xie, Lifang
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container_issue 1
container_start_page 12041
container_title Journal of physics. Conference series
container_volume 2378
creator Huai, Qing
Ji, Yirun
Li, Yu
Song, Peng
Hu, Yinghong
Yuan, Xi
Zhao, Yuan
Gao, Jing
Xie, Lifang
description The reliability and effectiveness of fibre-optical current transformer (FOCT) is significantly affected by the noise interference from internal system components and external environment. Therefore, this paper proposes an optimized variational mode decomposition (OVMD) based denoising algorithm to improve FOCT’s performance in the situation with high-level noise. The VMD parameter is adaptively optimized based on target signal and the effective decomposed sub-signals are further denoised with stationary wavelet transform functions. In order to investigate the feasibility of the proposed algorithm, both simulated current signal in PSCAD/EMTDC environment and recorded data of current in converter station of Zhangbei dc gird are considered in this paper. The test result indicates that the proposed denoising algorithm could filter out noise and retain sufficient feature information in FOCT’s output.
doi_str_mv 10.1088/1742-6596/2378/1/012041
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subjects Algorithms
Decomposition
Noise reduction
Physics
Transformers
Wavelet transforms
title An Optimized Variational Mode Decomposition based Denoising Method for Fibre-optical Current Transformer
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