首页|Application of improved variational mode decomposition method based on two-dimensional sparrow search algorithm in natural gas pipeline leakage signal denoising

Application of improved variational mode decomposition method based on two-dimensional sparrow search algorithm in natural gas pipeline leakage signal denoising

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To eliminate noise interference in pipeline leakage detection, a signal denoising method based on an improved variational mode decomposition algorithm is proposed. This work adopts a standard variational mode decomposition algorithm with decomposition level K and the penalty factor alpha. The improvements consist of using a two-dimensional sparrow search algorithm to find K and alpha. To verify the superiority of the sparrow search algorithm to find K and alpha, it is compared with three earlier studies. These studies used the firefly algorithm, particle swarm optimization, and whale optimization algorithm to perform the optimization. The main result of this study is to demonstrate that the variational mode decomposition improved by sparrow search algorithm gives a much improved signal-to-noise ratio compared to the other methods. In all other respects, the results are comparable.

Variational mode decompositiontwo-dimensional sparrow search algorithmparameters optimizationdispersion entropypipeline leakage signal denoisingDISPERSION ENTROPYFIREFLY ALGORITHMFAULT-DIAGNOSIS

Wang, Dongmei、Zhu, Lijuan、Yue, Jikang、Lu, Jingyi、Li, Gongfa

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Northeast Petr Univ

Wuhan Univ Sci & Technol

2022

Transactions of the Institute of Measurement and Control

Transactions of the Institute of Measurement and Control

EISCI
ISSN:0142-3312
年,卷(期):2022.44(13)
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