Abstract
This paper introduces the details of a transient damping feature extracting method based on the bridge monitoring data with the aid of the frequency slice wavelet transform (FSWT) which is a time-frequency space analysis tool and its application to damage detection of the bridges. The proposed method via the state representation methodology (SRM) algorithm has been verified by the state probably density distribution using the vibration signal from a laboratory bridge monitoring system. As a result, the system state vector as a non-parametric state variable will be able to apply to assess the state change (damage) of the bridge structures by expression of the state probably density distribution.
A. Miyamoto—Visiting Prof., Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.
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Miyamoto, A. (2020). A Damage Detection Method by Transient Damping Feature Based on Monitoring Data. In: Wahab, M. (eds) Proceedings of the 13th International Conference on Damage Assessment of Structures. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-8331-1_3
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DOI: https://doi.org/10.1007/978-981-13-8331-1_3
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