The deployment cost of the structural health monitoring (SHM) system is the major argument
against the more widespread use of the structural health monitoring techniques …

In recent decades, structural health monitoring (SHM) has gained increased importance for
ensuring the sustainability and serviceability of large and complex structures. To design an …

Structural health monitoring plays an increasingly significant role in detecting damages for
large and complex structures to ensure their serviceability and sustainability. Optimal sensor …

Optimal sensor placement (OSP) is essential for effective structural health monitoring (SHM).
More recently, deep learning algorithms have shown great potential in sensor‐based SHM …

The objective of optimal sensor placement (OSP) is to obtain a sensor layout that gives as
much information of the dynamic system as possible in structural health monitoring (SHM) …

Considering the limitation of selecting several neighbor sensors in a local region similar to
just single one, namely redundant information, a sensor placement algorithm for structural …

A strategy for sensor number determination and placement optimization for structural health
monitoring is proposed based on an interval possibility model and clustering avoidance …

Vibration-based dam safety monitoring methods have increasingly become a research
hotspot for assessing dam safety. The accurate material parameters of a high arch dam and …

Computational intelligence is one of the most powerful data processing tools to solve
complex nonlinear problems, and thus plays a significant role in intelligent fault diagnosis …

The identification of vibration load is of great importance in studying the vibration induced by
discharge of high arch dam. Considering the ill-posedness in time-domain identification of …