A signal processing approach to exploit chirp excitation in Lamb wave defect detection and localization procedures

A probabilistic crack size quantification method using in-situ Lamb wave test and Bayesian updating

“…The difficulty in the signal acquisition and analysis lies in several aspects: (1) Different structure geometries and working conditions require different Lamb wave sensor configurations, (2) the physical model which describes the relationship between damage sensitive features and the crack size is varied with structure geometries and working conditions. Therefore, the Lamb wave crack detection experiment is required in order to establish the crack size quantification model, which is extremely difficult for real engineering application, (3) noise and irrelevant signals can introduce difficulties in damage sensitive feature extraction, (4) data interpretation of the Lamb wave signal and crack size quantification model requires highly specialized knowledge [30][31][32]. Most of researches reported in existing literatures are mainly focus on specific target systems such as plate and beam structures, with a hole or a cut to represent the damage [33][34][35][36].…”

Source localization on solids utilizing time-frequency analysis of parameterized warped signals

“…As shown in [11], TiF-HA achieves an overall improvement in localization accuracy compared to methods based on the KullbackLeibler discrimination information [13] and wavelet [25]. Hence, in this work we compare the performance of the proposed algorithm with that of TiF-HA only.…”

“…Analysis of the received signals still remains a challenge due to temperature variation [9], different modes of wave propagation as well as wave distortion caused by dispersive nature of the channels between the tap impact location and the sensors. To achieve a reasonably good accuracy, TDOA based algorithms generally require a priori knowledge of material properties which are normally obtained during calibration [1] [10] [11].…”

Towards Real-Time Structural Health Monitoring Damage Detection Without User Input

“…The structure under interrogation was a composite panel of size 300 x 225 mm shown in Researchers [11,12] have used intuitive methods of simulating damage, including mastic. Though artificial damage does not fully represent actual damage, it provides a means by which to cause scattering of waves at a particular location.…”