Application of machine learning method in bridge health monitoring

Abstract

Machine learning algorithms have been a typical type of highly efficient method for data processing in these recent decades, and data-driven approaches for bridge health monitoring is particularly useful since a large quantity of sensor data are available. In this paper, a review of most popular applications of machine learning method are presented in order to illustrate their utilities and limitations in the field of bridge health monitoring.