Damage Identification Scheme Based on Compressive Sensing-Reference-Cited by-同舟云学术

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Damage Identification Scheme Based on Compressive Sensing

Published:2015-03 Issue:2 Volume:29 Page:04014037
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Wang Ying¹,Hao Hong²

Affiliation:

1. Lecturer in Civil Engineering, School of Engineering, Deakin Univ., 75 Pigdons Rd., Waurn Ponds, VIC 3216, Australia (corresponding author).

2. Winthrop Professor, School of Civil and Resource Engineering, Univ. of Western Australia, 35 Stirling Hwy, Crawley, WA 6009, Australia.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000324

Reference33 articles.

1. Dynamic Fuzzy Wavelet Neural Network Model for Structural System Identification

2. Damage detection using artificial neural network with consideration of uncertainties

3. Bao Y. Q. Beck J. L. and Li H. (2011). “Compressive sampling for accelerometer signals in structural health monitoring.” Struct. Health Monit. 10(3) 235–246.

4. Compressive Sensing [Lecture Notes]

5. Borgnat P. and Flandrin P. (2008). “Time- frequency localization from sparsity constraints.” IEEE Int. Conf. on Acoustic Speech and Signal Processing (ICASSP) IEEE 3785–3788.

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