Identification of Damage in a Wind Turbine Blade Using Mechanical Measurements and Artificial Neural Networks
Panagiotis Koutsianitis,
Manolis Paterakis,
Georgios E. Stavroulakis
Abstract:Due to the stochastic nature of environmental loadings, a lot of interest is paid in the discovery of possible damages of the involved equipment in modern industry. In wind turbines’ blades, the development of a smart structural health monitoring system is essential. In this paper, a large-scale composite wind turbine blade model is designed and used for the detection of several damage scenarios. The process is mainly based on the development of monitoring techniques which exploit the capabilities of artificia… Show more
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