Improvement to the sources selection to identify the low frequency noise induced by flood discharge

2018 ◽  
Vol 110 ◽  
pp. 139-151 ◽  
Author(s):  
Jijian Lian ◽  
Xiaoqun Wang ◽  
Bin Ma ◽  
Dongming Liu
2018 ◽  
Vol 22 (7) ◽  
pp. 1519-1530 ◽  
Author(s):  
Hui Li ◽  
Tengfei Bao ◽  
Chongshi Gu ◽  
Bo Chen

Extraction of the vibration characteristics of a flood discharge structure under the influence of intensive background noise is one of the main challenges in vibration-based damage identification. A novel algorithm called normalized central frequency difference spectrum is proposed to improve the variational mode decomposition algorithm for high-frequency noise filtering. To eliminate the errors caused by end effect, the waveform matching extension algorithm is used to further improve the variational mode decomposition. However, the vibration signal is still coupled in low-frequency noise. Thereupon, the singular spectrum analysis algorithm is applied to filter the low-frequency noise. In this article, a simulated signal and the measured signals from a dam model are analyzed by the proposed algorithm. The results indicate that the proposed algorithm is robust to noise and has high denoising precision. In addition, this algorithm can offer clues for damage identification and localization of a flood discharge structure.


Vestnik MEI ◽  
2018 ◽  
Vol 5 (5) ◽  
pp. 120-127
Author(s):  
Mikhail D. Vorobyev ◽  
◽  
Dmitriy N. Yudaev ◽  
Andrey Yu. Zorin ◽  
◽  
...  

1999 ◽  
Author(s):  
Charles K. Birdsall ◽  
J. P. Varboncoeur ◽  
P. J. Christensen

2021 ◽  
Vol 182 ◽  
pp. 108203
Author(s):  
Lígia T. Silva ◽  
Alda Magalhães ◽  
José Ferreira Silva ◽  
Fernando Fonseca

Measurement ◽  
2021 ◽  
pp. 109867
Author(s):  
Krzysztof ACHTENBERG ◽  
Janusz MIKOŁAJCZYK ◽  
Carmine CIOFI ◽  
Graziella SCANDURRA ◽  
Krystian MICHALCZEWSKI ◽  
...  

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