Enabling Damage Identification of Structures Using Time Series–Based Feature Extraction Algorithms-Reference-Cited by-同舟云学术

Enabling Damage Identification of Structures Using Time Series–Based Feature Extraction Algorithms

Published:2019-05 Issue:3 Volume:32 Page:04019014
ISSN:0893-1321
Container-title:Journal of Aerospace Engineering
language:en
Short-container-title:J. Aerosp. Eng.

Author:

Pan Hong¹,Lin Zhibin²,Gui Guoqing³

Affiliation:

1. Assistant Professor, School of Architecture and Civil Engineering, Jinggangshan Univ., Ji’an, Jiangxi 343009, China; Visiting Ph.D. Student, Dept. of Civil and Environmental Engineering, North Dakota State Univ., Fargo, ND 58105.

2. Assistant Professor, Dept. of Civil and Environmental Engineering, North Dakota State Univ., Fargo, ND 58105 (corresponding author).

3. Professor, School of Architecture and Civil Engineering, Jinggangshan Univ., Ji’an, Jiangxi 343009, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29AS.1943-5525.0000978

Reference31 articles.

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2. Algorithm for damage detection in wind turbine blades using a hybrid dense sensor network with feature level data fusion

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4. Active sensing using impedance-based ARX models and extreme value statistics for damage detection

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