BLADE CHARACTERISTICS Blade aerodynamic pro昀椀ling Blade bending moment analysis Taken directly from sensor wave length via a calibration routine you are able to determine the datum value. This can be monitored to highlight changes in the bade bending moment which will indicate changes in behavior or performance of the blade. This also allows for longer term tracking of the data for lifetime fatigue analysis. Blade natural frequency Data collected from 昀椀bre optic sensors is analysed to monitor changes in natural frequency. By monitoring these changes over a period of time, Insensys software highlights changes in the natural frequency of the blade. These changes inform of weakening or damage. 1547.34 1547.32 1547.3 1547.28 1547.26 1547.24 1547.22 This peak shows a change 1547.2 0123 in the blade's natural 20 21 22 23 24 frequency indicating possible damage. Blade characteristics Installing a variety of 昀椀bre optic sensors in speci昀椀c locations along the length of a blade allows for early detection of a change in the blade characteristics. Using Finite Element Leading edge debonds Analysis (FEA) Insensys have modelled di昀昀erent types of blade damage. Sensors in distinct areas inside the blade surface identifiy changes in strain, stiffness and resonant frequency. Transverse cracks These changes indicate where damage has occurred or is likely to occur without preventive maintenance. Shear web debonds