Nonlinear measurements for feature extraction in structural health monitoring

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AMEZQUITA SANCHEZ J.P.; ADELI H.

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Paper Information

Journal: Scientia Iranica Year:2019 | Volume:26 | Issue:6 (Transactions A: Civil Engineering) Page(s): 3051-3059

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Title

Nonlinear measurements for feature extraction in structural health monitoring

Author(s)

AMEZQUITA SANCHEZ J.P. | ADELI H. | Issue Writer Certificate

Keywords

Civil structures

Structural health monitoring

Nonlinear measurements

Vibrations

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.

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APA: Copy

AMEZQUITA SANCHEZ, J.P., & ADELI, H.. (2019). Nonlinear measurements for feature extraction in structural health monitoring. SCIENTIA IRANICA, 26(6 (Transactions A: Civil Engineering)), 3051-3059. SID. https://sid.ir/paper/290799/en

Vancouver: Copy

AMEZQUITA SANCHEZ J.P., ADELI H.. Nonlinear measurements for feature extraction in structural health monitoring. SCIENTIA IRANICA[Internet]. 2019;26(6 (Transactions A: Civil Engineering)):3051-3059. Available from: https://sid.ir/paper/290799/en

IEEE: Copy

J.P. AMEZQUITA SANCHEZ, and H. ADELI, “Nonlinear measurements for feature extraction in structural health monitoring,” SCIENTIA IRANICA, vol. 26, no. 6 (Transactions A: Civil Engineering), pp. 3051–3059, 2019, [Online]. Available: https://sid.ir/paper/290799/en

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