Machine Learning Applications for Vibration-Based Structural Health Monitoring

The recent advances in sensing technology and in the field of artificial intelligence (AI) have boosted the development of techniques based on machine learning (ML) for structural health monitoring (SHM). The chapter provides a discussion on the application of machine learning (ML) methods for vibration-based SHM. The fundamental principles of machine learning are presented and the steps of vibration-based SHM for damage detection are outlined. The application of ML with respect to every step of SHM process is subsequently discussed. Among the vast existing literature, the milestones are identified and the endless possibilities for the successful application of ML are presented.