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Title: Estimation of full‐field, full‐order experimental modal model of cable vibration from digital video measurements with physics‐guided unsupervised machine learning and computer vision

Authors:
ORCiD logo [1];  [2];  [3];  [4];  [5];  [5];  [6];  [6]
  1. Energy and Global SecurityArgonne National Laboratory Lemont IL USA, Engineering InstituteLos Alamos National Lab Los Alamos NM USA
  2. Department of Mechanical EngineeringBrown University Providence RI USA
  3. Department of Applied MathColumbia University New York NY USA
  4. Department of Mechanical EngineeringGeorgia Institute of Technology Atlanta GA USA
  5. Physical Chemistry and Applied SpectroscopyLos Alamos National Lab Los Alamos NM USA
  6. Engineering InstituteLos Alamos National Lab Los Alamos NM USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1504296
Grant/Contract Number:  
20150708PRD2
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Structural Control and Health Monitoring
Additional Journal Information:
Journal Name: Structural Control and Health Monitoring Journal Volume: 26 Journal Issue: 6; Journal ID: ISSN 1545-2255
Publisher:
Wiley Blackwell (John Wiley & Sons)
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Yang, Yongchao, Sanchez, Lorenzo, Zhang, Huiying, Roeder, Alexander, Bowlan, John, Crochet, Jared, Farrar, Charles, and Mascareñas, David. Estimation of full‐field, full‐order experimental modal model of cable vibration from digital video measurements with physics‐guided unsupervised machine learning and computer vision. United Kingdom: N. p., 2019. Web. doi:10.1002/stc.2358.
Yang, Yongchao, Sanchez, Lorenzo, Zhang, Huiying, Roeder, Alexander, Bowlan, John, Crochet, Jared, Farrar, Charles, & Mascareñas, David. Estimation of full‐field, full‐order experimental modal model of cable vibration from digital video measurements with physics‐guided unsupervised machine learning and computer vision. United Kingdom. doi:10.1002/stc.2358.
Yang, Yongchao, Sanchez, Lorenzo, Zhang, Huiying, Roeder, Alexander, Bowlan, John, Crochet, Jared, Farrar, Charles, and Mascareñas, David. Tue . "Estimation of full‐field, full‐order experimental modal model of cable vibration from digital video measurements with physics‐guided unsupervised machine learning and computer vision". United Kingdom. doi:10.1002/stc.2358.
@article{osti_1504296,
title = {Estimation of full‐field, full‐order experimental modal model of cable vibration from digital video measurements with physics‐guided unsupervised machine learning and computer vision},
author = {Yang, Yongchao and Sanchez, Lorenzo and Zhang, Huiying and Roeder, Alexander and Bowlan, John and Crochet, Jared and Farrar, Charles and Mascareñas, David},
abstractNote = {},
doi = {10.1002/stc.2358},
journal = {Structural Control and Health Monitoring},
number = 6,
volume = 26,
place = {United Kingdom},
year = {2019},
month = {4}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on March 31, 2020
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