A Wavelet Selection Scheme and Its Application in Underwater Discharge Signal Analysis

Author:

Zhang Xiaobin1,Lu Binjie2ORCID,Qiao Liang3

Affiliation:

1. Naval University of Engineering

2. Naval University of Engineering,The 92279 Unit of The PLA

3. Baoji University of Arts and Sciences

Abstract

Abstract The time-frequency characteristics of underwater discharge explosion signals are of great significance for its application. Wavelet-based de-noising and time-frequency analysis technology is an effective means to study underwater explosion signals. The selection of wavelets is the key to the accuracy of wavelet analysis. Evaluation indexes are chosen and fused by the coefficient of variation. And a scheme of wavelet selection is provided based on the typical reference waveform and comprehensive evaluation index. The selected optimal wavelet is used to process the underwater discharge explosion signals produced by different materials. The results show that the scheme is feasible and practical.

Publisher

Research Square Platform LLC

Reference22 articles.

1. L.H. Fry, P. Adair, R. Williams Long Life Sparker for Pulse Powered Underwater Acoustic Transducer. In Proceedings of the Digest of Technical Papers. 12th IEEE International Pulsed Power Conference. (Cat. No.99CH36358); IEEE: Monterey, CA, USA, 1999; Vol. 2, pp. 781–784

2. L.H. Fry, P. Adair, R. Williams, K. Shang, J. Li, R. Morent Hybrid Electric Discharge Plasma Technologies for Water Decontamination: A Short Review. In Proceedings of the Digest of Technical Papers. 12th IEEE International Pulsed Power Conference. (Cat. No.99CH36358); IEEE: Monterey, CA, USA, 2019; Vol. v.21, pp. 5–13

3. Experimental Study of the Electric Pulse-Width Effect on the Acoustic Pulse of a Plasma Sparker;Huang Y;IEEE J. Ocean. Eng.,2016

4. Clinical Applications of Plasma Shock Wave Lithotripsy in Treating Postoperative Remnant Stones Impacted in the Extra- and Intrahepatic Bile Ducts;Xu Z;Surg. Endosc,2002

5. Y. Wang, Theoretical and Experimental Study of the Underwater Plasma Acoustic Source. PhD Thesis, Graduate School of National University of Defense Technology, 2012

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3