With SHM.Blade, you increase the economic efficiency of your wind turbine. Due to the early detection of damage you can prevent the development of severe damage and thus minmize repair costs. At the same time, you reduce the downtimes of your turbine and thus increase the energy yield.
In the field of Structural Health Monitoring (SHM) Wölfel relies on various measured physical parameters in order to be able to draw conclusions about structural changes from these multidimensional data. The decisive factor is a fully automatic online signal analysis directly in the wind farm. Damage must be reliably detected and distinguished from normal impacts from the environment and current operation.
SHM.Blade detects changes in relation to a certain reference condition. This reference condition is determined individually for each rotor blade fully automatically and without external intervention immediately after the activation of SHM.Blade. Such a blade specific learning phase ensures high sensitivity to damage despite the mass and stiffness tolerances caused during the production. After completion of the learning phase, the system continously calculates condition indicators, which provide information on the current condition of the blade at all times. By means of a two-level warning and alarm concept, the system control can react and subsequent damage can be prevented.