This paper aims to review high-dimensional data analytic (HDDA) methods for structural
health monitoring (SHM) and non-destructive evaluation (NDE) applications. High …

Lossy transmission is a common problem for monitoring systems based on wireless sensors.
Reliable communication protocols, which enhance communication reliability by repetitively …

This paper addresses two problems in structural damage identification: locating damage
and assessing damage severity, which are incorporated into the classification framework …

Compressive Sensing (CS) provides a solution for modal analysis with fewer/compressed
measurements. However, operational modal analysis by using compressed measurements …

Compressed sensing (CS) is a powerful new data acquisition paradigm that seeks to
accurately reconstruct unknown sparse signals from very few (relative to the target signal …

The reliable extraction of structural characteristics, such as modal information, from
operating structural systems allows for the formation of indicators tied to structural …

Structural vibration responses themselves contain rich dynamic information, exploiting which
can lead to tackling the challenging problem: simultaneous denoising of both gross errors …

Introducing compressive sensing (CS) to modal analysis enables modal identification
approaches to process compressed measurements, which enhances the efficiency in both …

A general L p norm (0< p≤ 1) minimization approach is proposed for estimating stochastic
process power spectra subject to realizations with incomplete/missing data. Specifically …

A novel power spectrum blind sampling (PSBS) approach is proposed supporting low-power
wireless sensor networks for Operational Modal Analysis (OMA) applications. The …