Structural Health Monitoring Using Emerging Signal Processing Approaches with Artificial Intelligence Algorithms

Structural health monitoring is a powerful tool across civil, mechanical, automotive, and aerospace engineering, allowing the assessment and measurement of physical parameters in real time.Processing changes in the vibration signals of a dynamic system can detect, locate, and quantify any damage existing in the system.This book presents a comprehensive state-of-the-art review of the applications in time, frequency, and time-frequency domains of signal-processing techniques for damage perception, localization, and quantification in various structural systems. Experimental investigations are illustrated, including the development of a set of damage indices based on the signal features extracted through various signal-processing techniques to evaluate sensitivity in damage identification.Chapters summarize the application of the Hilbert-Huang transform based on three decomposition methods such as empirical mode decomposition, ensemble empirical mode decomposition, and complete ensemble em