Application of an improved variational mode decomposition algorithm in leakage location detection of water supply pipeline

Measurement ◽  
2020 ◽  
pp. 108587
Author(s):  
Juan Li ◽  
Yu Chen ◽  
Changgang Lu
Author(s):  
Dongmei Wang ◽  
Lijuan Zhu ◽  
Jikang Yue ◽  
Jingyi Lu ◽  
Gongfa Li

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 α. The improvements consist of using a two-dimensional sparrow search algorithm to find K and α. To verify the superiority of the sparrow search algorithm to find K and α, 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.


2015 ◽  
Vol 21 ◽  
pp. 540-546 ◽  
Author(s):  
Soman K.P. ◽  
Prabaharan Poornachandran ◽  
Athira S. ◽  
Harikumar K.

2021 ◽  
Vol 48 (7) ◽  
pp. 0706003
Author(s):  
梁宇 Liang Yu ◽  
刘铁根 Liu Tiegen ◽  
刘琨 Liu Kun ◽  
江俊峰 Jiang Junfeng ◽  
李亚凡 Li Yafan

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