Blade Monitoring
Reduce blade failure risk with unmatched precision. Turbit Blade Monitoring combines advanced AI analytics with high-frequency sensor data to detect early-stage blade damage in real time. Get notified when it matters to prevent cascading damage, minimize downtime, and extend turbine life.
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Blade Monitoring in a nutshell
Protect blade health and performance with AI
Gain Early Detection Of Damage
Analyze flap and edge vibrations continuously to identify cracks, delamination, or abnormal loads before they escalate.
Plan Interventions With Confidence
Alerts provide clear context on blade condition and failure risk, supporting precise maintenance decisions and efficient resource allocation.
Extend Turbine Lifetime And Reduce Costs
Acting before small defects turn into major failures prevents cascading damage, minimizes downtime and extends blade life.
Built for what matters.
Combines Blade and SCADA Monitoring in one platform.
Real-time spectrogram analysis with AI brings deeper context for faster, more accurate failure analysis.
Enables holistic risk coverage and potential OPEX reduction.
Works with high-frequency blade sensor data.
Turbit Blade Monitoring works seamlessly with high-frequency data from Weidmüller’s BladeControl. Also compatible with other blade sensor systems via Turbit Datahub, so operators can integrate different setups across their fleets.
See it in action.
Turbit at a glance
Blade Monitoring: A Critical Component for Wind Farm Success
Wind Turbine Blade Monitoring - One Step Closer to Full Scale Monitoring
Understanding the Aerodynamics of Wind Turbine Blades
See Turbit on your fleet
Backtest Turbit on the turbines where you already know something happened — or read how operators like VSB, Energiequelle, Enercity and Teut use Turbit on their fleets today.