It is well known that time-frequency analysis (TFA) characterises signals in time-frequency
plane. Theoretically, traditional non-parameterised TFA can analyze any signal, but it is …

Bayesian inference provides a powerful approach to system identification and damage
assessment for structures. The application of Bayesian method is motivated by the fact that …

Guided-wave (GW) approaches have shown potential in various initial laboratory
demonstrations as a solution to structural health monitoring (SHM) for damage prognosis …

This article investigates the role of ambient temperature in causing changes to the structural
wave propagation, as sensed by piezoelectric transducers, in a newer perspective. A novel …

Signal processing algorithms for guided wave pulse echo-based structural health monitoring
(SHM) must be capable of isolating individual reflections from defects in the structure, if any …

Many sparse signal representation (SSR) algorithms have been developed in the past
decade. The advantages of SSR such as compact representations and super resolution lead …

A narrowband tone burst excitation is usually required in most Lamb wave inspection
techniques in order to reduce the dispersion effect and maintain mode purity, especially in …

In this study, matching pursuit (MP) has been tested with machine learning algorithms such
as artificial neural networks (ANNs) and support vector machines (SVMs) to automate the …

It is challenging but meaningful to detect and image the micro-damage in the early stages of
engineering structure failure. The nonlinear ultrasonic technique has gained considerable …

Matching pursuit has typically been applied to ultrasonic signal analysis for the purpose of
identifying or estimating discrete echoes. In this paper, a specific numerical implementation …