Transforming Bridge Monitoring from Time-Based to Predictive Maintenance Using Acoustic Emission MEMS Sensors and Artificial Intelligence

The objective of the work presented in this paper is to advance the state of the art in steel bridge safety critical structural monitoring using MEMS acoustic emission sensors and artificial intelligence. By advancing the state of the art, it is the authors' objective to transform conventional bridge monitoring from...