• How can you hear ice grow?

IDD.Blade – Ice detection with automatic restart function

Complete system for condition monitoring of rotor blades as well as for the detection of structural damage or icing

Rotor blades of wind turbines are exposed to extreme environmental conditions and high dynamic stresses. They have a decisive influence on the energy yield and thus on the economic efficiency of a wind turbine. Incipient damage must be detected at the earliest stage possible in order to plan and take reasonable repair measures in due time and thus protect the investment. In case of rotor blade icing, the wind turbine has to be stopped in order to avoid increased loads caused by imbalances and to protect the surrounding area against ice shedding. Periodic inspections are not sufficient for an early detection of damage or icing. Continuous monitoring ensures a higher level of safety.

The solution from Wölfel: SHM.Blade® and IDD.Blade® for the detection of structural damage or icing


  • Early detection of damage
  • Automatic ice detection
  • Automatic restart of the wind turbine when the blades are ice-free
  • Reduced risk of ice shedding

Your benefit: Higher economic efficiency

With SHM.Blade® or IDD.Blade® you increase the economic efficiency of your wind turbine. Due to the early detection of damage or icing you can prevent the development of severe damage and thus minimize repair costs. At the same time you reduce the downtimes of your turbine and thus increase the energy yield. Another advantage is the automatic restart of the turbine when the blades are ice-free: visual inspections by service personnel are no longer required and downtimes due to icing are reduced to a minimum. Moreover, the risk of ice shedding from rotating rotor blades is minimized and thus you protect people and structures near the wind turbine.

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.