Elastic Wave Denoising in the Case of Bender Elements Type Piezoelectric Transducers

Ming Xie, Jiahao Liu () and Song Lu
Additional contact information
Ming Xie: School of Civil Engineering, Xijing University, Xi’an 710123, China
Jiahao Liu: School of Civil Engineering, Xijing University, Xi’an 710123, China
Song Lu: Quanzhou Institute of Equipment Manufacturing Haixi Research Institute, Chinese Academy of Sciences, Quanzhou 362000, China

Sustainability, 2022, vol. 14, issue 19, 1-13

Abstract: The accuracy of the wave signal is key to studying physical information inside the soil using bender-element-type piezoelectric transducers. There is too much noise during the elastic wave signal collected by bender elements, which is caused by factors such as fluid current and infiltration. At present, the mainstream method is the superposition method, which superposes multiple tested waveform data to obtain a clear waveform. However, the superposition method is limited by the number of signals during the collection, and the denoised waveform still contains high-frequency noise. A combination method combining superposition and the wavelet threshold is proposed in this work to improve the accuracy of the elastic waveform signal. Three different signal denoising simulation tests and one model box test are conducted to verify the method’s feasibility from two aspects. The results show that the combined method can effectively remove high-frequency noise and display clear waveforms based on overcoming the number of signals. This work provides a new means of signal denoising in the case of studying soil properties by bender-element-type piezoelectric transducers.

Keywords: wavelet threshold denoising; elastic wave; rainfall; landslide; early warning (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/19/12605/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/19/12605/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:19:p:12605-:d:933077

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().