This review identifies current machine-learning algorithms implemented in building
structural health monitoring systems and their success in determining the level of damage in …

The damage identification process provides relevant information about the current state of a
structure under inspection, and it can be approached from two different points of view. The …

Civil and military structures are susceptible and vulnerable to damage due to the
environmental and operational conditions. Therefore, the implementation of technology to …

Thanks to its sensitive characteristics to damages, modal strain energy (MSE) has been
widely utilized for structural damage identification. Various MSE-related techniques on …

This manuscript provides a detailed synopsis of the contemporary advancements in the
nascent area of real-time structural damage detection for vibrating systems. The paper …

This chapter aimed to present different data driven Vibration-Based Methods (VBMs) for
Structural Health Monitoring (SHM). This family of methods, widely used for engineering …

An important issue in structural health monitoring (SHM) is to develop appropriate
algorithms that can explicitly extract meaningful changes in measurements due to structural …

Modern real-time structural health monitoring (SHM) systems can generate a considerable
amount of information that must be processed and evaluated for detecting early anomalies …

This paper presents a case study on statistical procedures for the detection and localization
of damage along a beam. Tests are performed on a specially designed beam consisting of …

The number and position of sensors and actuators are key decision variables that dictate the
performance of any structural health monitoring system. This paper proposes choosing them …