Cepstral Coefficients for Earthquake Damage Assessment of Bridges Leveraging Deep Learning
Cepstral Coefficients for Earthquake Damage Assessment of Bridges Leveraging Deep Learning
Bridges are indispensable elements in resilient communities as essential parts of the lifeline transportation systems. Knowledge about the functionality of bridge structures is crucial, especially after a major earthquake event. In this study, we propose signal processing approaches for automated AI-equipped damage detection of bridges. Mel-scaled filter banks and cepstral …