Eliminating Temperature Effects in Damage Detection for Civil Infrastructure Using Time Series Analysis and Autoassociative Neural Networks-Reference-Cited by-同舟云学术

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Eliminating Temperature Effects in Damage Detection for Civil Infrastructure Using Time Series Analysis and Autoassociative Neural Networks

Published:2019-03 Issue:2 Volume:32 Page:04019001
ISSN:0893-1321
Container-title:Journal of Aerospace Engineering
language:en
Short-container-title:J. Aerosp. Eng.

Author:

Zhang Haiyang¹,Gül Mustafa²,Kostić Branislav³

Affiliation:

1. Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton, AB, Canada T6G 2W2.

2. Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton, AB, Canada T6G 1H9 (corresponding author).

3. Structural Professional Engineer, TNAI Engineering Ltd., 315 West 7th Ave., Vancouver, BC, Canada V5Y 1M2.

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.1943-5525.0000987

Reference45 articles.

1. Preface to the Special Issue on Phase I of the IASC-ASCE Structural Health Monitoring Benchmark

2. Vibration-based structural health monitoring using output-only measurements under changing environment

3. Vibration-based Damage Identification Methods: A Review and Comparative Study

4. Fanning P. J. and E. P. Carden. 2001. “Auto-regression and statistical process control techniques applied to damage indication in telecommunication masts.” In Vol. 204 of Proc. Key Engineering Materials. Zürich Switzerland: Trans Tech Publications.

5. Damage identification of a full-scale five-girder bridge using time-series analysis of vibration data

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