Enhancing response estimation and system identification in structural health monitoring through data-driven approaches
Javad Isavand,
Afshar Kasaei,
Andrew Peplow
et al.
Abstract:Through the advancement of Data Science methodologies, a new era in output-only identification techniques has been inaugurated, driven by the integration of data-driven methodologies within the realm of Structural Health Monitoring (SHM). This study endeavors to introduce a simplified data-driven approach catering to System Identification (SI) and Response Estimation (RE). This is realized through the utilization of a summation of sine functions, fashioned as a model to harmonize with time domain vibration and… Show more
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