Structural Health Monitoring of Blades

Wind Farm Monitoring

Structural Health Monitoring of Blades

Wind Farm Monitoring

 

Structural health monitoring of rotor blades may be performed using the Wȫlfel SHM Blade® monitoring system.

The SHM.Blade® is a condition monitoring system for rotor blades, which can detect structural damage. By sensors inside the rotor blades, sophisticated signal analysis and individual referencing an extraordinary sensitivity is achieved. The system continuously calculates condition indicators, which provide information on the current condition of the blade at all times. Inspection and repair measures can be planned by means of a two-level warning and alarm concept. The turbine control system can react and prevent subsequent damage.

More detailed information can be provided via a web interface of the backup and monitoring system.

SHM.Blade® is certified by DNV/GL.

https://www.woelfel.de/fileadmin/services/Brochure-IDD-Blade-SHM-Blade.pdf

With SHM.Blade® the economic efficiency of your wind turbine is increased. Due to the early detection of damage 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.

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 structural changes in relation to a certain reference condition. This reference condition is determined fully automatically without any help from outside and individually for every single rotor blade 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 production. After completion of the learning phase, the system continuously 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.

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