A study of two unsupervised data driven statistical methodologies for detecting and classifying damages in structural health monitoring-Reference-Cited by-同舟云学术

A study of two unsupervised data driven statistical methodologies for detecting and classifying damages in structural health monitoring

Published:2013-12 Issue:1-2 Volume:41 Page:467-484
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Tibaduiza D.-A.,Torres-Arredondo M.-A.,Mujica L.E.,Rodellar J.,Fritzen C.-P.

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference55 articles.

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5. P.D. Wilcox, Lamb Wave Inspection of Large Structures Using Permanently Attached Transducers. Ph.D. Thesis, 1998.

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