Unsupervised Mode Extraction and Group Velocity Estimation for Ultrasonic Guided Waves Propagating in Dispersive Material

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we develop an approach for characterizing frequency-dependent mode properties of ultrasonic guided wave propagation in dispersive material. The approach exploits the relation between propagation group velocity and signal group delay changes to study a highly-localized time-frequency representation. The mode separation is achieved using unsupervised clustering with minimum spanning trees; nonlinear curve fitting is then used to model each extracted mode. The performance of the method is demonstrated using simulations.

Original languageEnglish (US)
Title of host publicationConference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages343-347
Number of pages5
ISBN (Electronic)9780738131269
DOIs
StatePublished - Nov 1 2020
Event54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020 - Pacific Grove, United States
Duration: Nov 1 2020Nov 5 2020

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2020-November
ISSN (Print)1058-6393

Conference

Conference54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020
Country/TerritoryUnited States
CityPacific Grove
Period11/1/2011/5/20

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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