TY - GEN
T1 - Unsupervised Mode Extraction and Group Velocity Estimation for Ultrasonic Guided Waves Propagating in Dispersive Material
AU - Ikram, Javaid
AU - Chattopadhyay, Aditi
AU - Papandreou-Suppappola, Antonia
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/1
Y1 - 2020/11/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85107800078&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85107800078&partnerID=8YFLogxK
U2 - 10.1109/IEEECONF51394.2020.9443512
DO - 10.1109/IEEECONF51394.2020.9443512
M3 - Conference contribution
AN - SCOPUS:85107800078
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 343
EP - 347
BT - Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020
Y2 - 1 November 2020 through 5 November 2020
ER -