A Review of Machine Learning Algorithms for vibration-based SHM and vision-based SHM

The rapid growth of population and expansion of urban cites within the limited land resources, provided the way for high-rise building construction. The research on Structural Health Monitoring (SHM) of high-rise buildings have been actively conducted. However, monitoring such tall structures for a long term faces various difficulties. Therefore, Machine Learning algorithm applications in Structural Health Monitoring have overcome the difficulty in the monitoring of high-rise buildings. In this review, Machine Learning algorithm is categorized of two domains, they are vibration-based SHM and vision-based SHM. The usefulness of applying Machine Learning algorithms in Structural Health Monitoring i.e., for efficient damage identification and prediction have been outlined.