Modal frequencies are widely used for vibration‐based structural health monitoring (SHM)
and for capturing the dynamics of a monitored structure to reveal possible failures. However …

The negative selection algorithm (NSA) is one of the important methods in the field of
immunological computation (or artificial immune systems). Over the years, some progress …

This paper presents a method to identify the damages in frame structures with slender
beams. This method adjusts the parameters of the structure to match the analytical and the …

A key challenge in anomaly detection is the imbalance between the amounts of normal and
abnormal signal data. Specifically, the amount of abnormal signal data is considerably less …

The implementation of condition monitoring for damage identification and the generation of
a reliable digital twin are essential elements of preventive conservation. The application of …

Methods of early warning in damage detection of civil engineering structures represent a
particular challenge in Structural Health Monitoring (SHM). To investigate these problems …

Vibration-based damage identification methods have been explored in several engineering
fields. However, the effective damage-sensitivity of vibration-based features and the balance …

In order to solve the problem of intelligent detection of damage of modern concrete
structures under complex constraints, an improved self-organizing mapping (SOM) neural …

Data-driven methodologies are among the most effective tools for damage detection of
complex existing buildings, such as heritage structures. Indeed, the historical evolution and …

Control charts have become a common method for damage detection within vibration-based
structural health monitoring. Successful applications have been implemented including for …