TY - GEN
T1 - Synchrosqueezing Transform Matched to Nonlinear Group Delay for Mode Estimation of Ultrasonic Guided Waves
AU - Ikram, Javaid
AU - Chattopadhyay, Aditi
AU - Papandreou-Suppappola, Antonia
N1 - Publisher Copyright: © 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Ultrasonic guided waves (UGW) are often used in structural health monitoring applications to identify possible damage sensitive features in complex materials. It is thus important to characterize the properties of the multiple frequency-dependent modes of UGW propagation in dispersive material. We propose a novel synchrosqueezing transform that is designed to provide high localization to signals with nonlinear time-frequency group delay signatures. The transform is well-matched to the strong modulation of UGW propagation. It can also provide mode separation and reconstruction of highly dispersive signal components. The performance of the transform is demonstrated and compared to other recently developed synchrosqueezing transforms using both simulated and real data.
AB - Ultrasonic guided waves (UGW) are often used in structural health monitoring applications to identify possible damage sensitive features in complex materials. It is thus important to characterize the properties of the multiple frequency-dependent modes of UGW propagation in dispersive material. We propose a novel synchrosqueezing transform that is designed to provide high localization to signals with nonlinear time-frequency group delay signatures. The transform is well-matched to the strong modulation of UGW propagation. It can also provide mode separation and reconstruction of highly dispersive signal components. The performance of the transform is demonstrated and compared to other recently developed synchrosqueezing transforms using both simulated and real data.
UR - http://www.scopus.com/inward/record.url?scp=85127070418&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85127070418&partnerID=8YFLogxK
U2 - 10.1109/IEEECONF53345.2021.9723207
DO - 10.1109/IEEECONF53345.2021.9723207
M3 - Conference contribution
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 558
EP - 562
BT - 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
Y2 - 31 October 2021 through 3 November 2021
ER -