Intensity-Based Feature Selection for Near Real-Time Damage Diagnosis of Building Structures
Intensity-Based Feature Selection for Near Real-Time Damage Diagnosis of Building Structures
<p>Near real-time damage diagnosis of building structures after extreme events (e.g., earthquakes) is of great importance in structural health monitoring. Unlike conventional methods that are usually time-consuming and require human expertise, pattern recognition algorithms have the potential to interpret sensor recordings as soon as this information is available. This paper …