nonlinear measurements for feature extraction in structural health monitoring

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.