Acoustic Signal Characteristics Analysis of Underwater Plasma Source Pulse Discharge based on Variational Mode Decomposition Algorithm
Zhenyang Chen, Bing Yan, Xiaobing Zhang
Available Online April 2019.
- https://doi.org/10.2991/icmeit-19.2019.81How to use a DOI?
- VMD algorithm, underwater plasma, simulation model, spectrum.
- In order to study the variational mode decomposition (VMD) algorithm for the analysis of acoustic signal characteristics of underwater plasma sound source pulse discharge, a simulation model of central control module is established by using VMD algorithm. The whole hardware circuit takes the FPGA (Field Programmable Gate Array) chip as the intelligent control center of the central control module, and combining with the minimum composed of basic power supply circuit, clock circuit, reset circuit and configuration circuit, the model is used to analyze the characteristics of acoustic signals. The results show that the uncertainties of these parameters also affect the performance of VMD. In VMD decomposition, the smaller the equilibrium constraint parameters are, the larger the bandwidth of each modal component is, the more likely the phenomenon of center frequency overlap and mode aliasing will occur. The larger the equilibrium constraint parameters are, the smaller the bandwidth of each component signal will be, and the phenomenon of center frequency overlap and mode aliasing will disappear. Through analysis, it is proposed that the general equilibrium constraint parameters can be taken as sampling frequency fs in practice. The acoustic signal of VMD applied to underwater plasma sound source pulse discharge is analyzed, and the results are as expected. It provides a theoretical basis and practical basis for its application in underwater plasma acoustic signal characteristics analysis. This is of great significance to the study of VMD as an underwater plasma source for the analysis of acoustic signal characteristics of pulse discharge.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zhenyang Chen AU - Bing Yan AU - Xiaobing Zhang PY - 2019/04 DA - 2019/04 TI - Acoustic Signal Characteristics Analysis of Underwater Plasma Source Pulse Discharge based on Variational Mode Decomposition Algorithm BT - 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmeit-19.2019.81 DO - https://doi.org/10.2991/icmeit-19.2019.81 ID - Chen2019/04 ER -