Hoell, SimonOmenzetter, PiotrMeyendorf, Norbert G.2017-09-122017-09-122017-04-19Hoell, S & Omenzetter, P 2017, Optimal statistical damage detection and classification in an experimental wind turbine blade using minimum instrumentation. in N G Meyendorf (ed.), Smart Materials and Nondestructive Evaluation for Energy Systems 2017. vol. 10171, 101710D, SPIE, Smart Materials and Nondestructive Evaluation for Energy Systems 2017, Portland, United States, 27/03/17. https://doi.org/10.1117/12.2257228conference9781510608276http://hdl.handle.net/2164/9287123802005engDamage classificationPrincipal component analysisStatistical classificationTime series methodsVibration analysisWind turbinesTA Engineering (General). Civil engineering (General)Electronic, Optical and Magnetic MaterialsCondensed Matter PhysicsComputer Science ApplicationsApplied MathematicsElectrical and Electronic EngineeringTAOptimal statistical damage detection and classification in an experimental wind turbine blade using minimum instrumentationBook item10.1117/12.2257228https://www.scopus.com/pages/publications/85021821176