@article { author = {Amezquita-Sanchez, J. P. and Adeli, H.}, title = {Nonlinear measurements for feature extraction in structural health monitoring}, journal = {Scientia Iranica}, volume = {26}, number = {6}, pages = {3051-3059}, year = {2019}, publisher = {Sharif University of Technology}, issn = {1026-3098}, eissn = {2345-3605}, doi = {10.24200/sci.2019.21669}, abstract = {In the past twenty-five years, structural health monitoring (SHM) has become an increasingly significant topic of investigation in the civil and structural engineering research community. An SHM schema involves three main steps: (a) measurement and acquisition of signals related to the structural response, (b) signal processing consisting of pre-processing and feature extraction employing nonlinear measurements, and (c) interpretation using machine learning. This article presents a review of recent journal articles on nonlinear measurements used for feature extraction in SHM of building and bridge structures. It also reviews three recently-developed nonlinear indexes with potential applications in SHM.}, keywords = {Civil structures,structural health monitoring,Nonlinear Measurements,Vibrations}, url = {https://scientiairanica.sharif.edu/article_21669.html}, eprint = {https://scientiairanica.sharif.edu/article_21669_abe115ab23bdb3a0fab2d2d707021a57.pdf} }