Monitoring multi-site damage growth during quasi-static testing of a wind turbine blade using a structural neural system

Structural Health Monitoring

Volumn 7, Issue 2, 2008, Pages 157-173

  Kirikera, R Goutham ^a   Shinde, Vishal ^b   Schulz, J Mark ^c   Sundaresan, J Mannur ^d   Hughes, Scott ^e   van Dam, Jeroen ^e   Nkrumah, Francis ^d   Grandhi, Gangadhar ^d   Ghoshal, Anindya ^f  

^a Northwestern University   (United States)

^b Physical Acoustics Corporation   (United States)

^c University of Cincinnati   (United States)

^d North Carolina Agricultural and Technical State University   (United States)

^e NATIONAL RENEWABLE ENERGY LABORATORY   (United States)

^f UNITED TECHNOLOGIES RESEARCH CENTER   (United States)

Author keywords

Acoustic emission (AE); Continuous sensors; Passive health monitoring; Structural health monitoring (SHM); Structural neural system (SNS); Wind turbine blade

Indexed keywords

EID: 44349162945     PISSN: 14759217     EISSN: 17413168     Source Type: Journal    
DOI: 10.1177/1475921708089746     Document Type: Article

References (20)