Asia Pacific Conference of the Prognostics and Health Management Society 2021
Abstract
Structural condition monitoring techniques based on sensor data have been studied, and they have been applied to various civil infrastructures including cable-stayed bridges for assessing their structural safety. However, such a technique typically requires pre-defining a threshold to detect anomalies, which can be heuristic. This study suggests a new probabilistic method for the cable condition monitoring of cable-stayed bridges using Gaussian process regression (GPR). To monitor the condition of multiple cables in parallel, the GPR analysis is conducted based on multi-input multi-output (MIMO), which enables to set the threshold values for anomaly detection in a reasonable manner. To demonstrate the proposed method, it is applied to an actual cable-stayed bridge in the Republic of Korea, and the corresponding analysis results are presented.
Publisher
Asia Pacific Conference of the Prognostics and Health Management Society 2021