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This paper reviews signal processing techniques for vibration-based structural health monitoring (SHM) of civil structures like buildings and bridges. It emphasizes the importance of extracting subtle changes in vibration signals to detect and quantify damage, while also discussing new methodologies and challenges in automating damage detection from noisy data. The paper highlights various signal processing methods, including statistical time series models, Fast Fourier Transform, and Kalman filters, and th

Author

eda00nur99

Language

EN