On damage diagnosis for a wind turbine blade using pattern recognition-Reference-Cited by-同舟云学术

On damage diagnosis for a wind turbine blade using pattern recognition

Published:2014-03 Issue:6 Volume:333 Page:1833-1850
ISSN:0022-460X
Container-title:Journal of Sound and Vibration
language:en
Short-container-title:Journal of Sound and Vibration

Author:

Dervilis N.,Choi M.,Taylor S.G.,Barthorpe R.J.,Park G.,Farrar C.R.,Worden K.

Funder

Department of Energy through the Laboratory Directed Research and Development program at Los Alamos National Laboratory

Leading Foreign Research Institute Recruitment Program through the National Research Foundation of Korea

Ministry of Education, Science and Technology

EU Marie Curie scheme through the Initial Training Network SYSWIND

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Acoustics and Ultrasonics,Condensed Matter Physics

Reference37 articles.

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3. Goutham R. Kirikera, Mannur Sundaresan, Francis Nkrumah, Gangadhararao Grandhi, Bashir Ali, Sai L. Mullapudi, Vesselin Shanov, Mark Schulz, Wind Turbines, Encyclopedia of Structural Health Monitoring, 2009

4. Ole J.D. Kristensen, Malcolm McGugan, Peter Sendrup, Jørgen Rheinländer, Jens Rusborg, Anders M. Hansen, Christian P. Debel, Bent F. Sørensen, Fundamentals for Remote Structural Health Monitoring of Wind Turbine Blades-a Preproject, Annex E: Full-scale Test of Wind Turbine Blade, Using Sensors and NDT, Risø National Laboratory, 2002.

5. Structural collapse of a wind turbine blade. Part B. Progressive interlaminar failure models;Overgaard;Composites Part A,2010

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