Detecting blade damage before it escalates

For wind farm operators, identifying blade damage early is critical to maintaining performance and avoiding costly repairs. In Scandinavia, where turbines operate under harsh and changing weather conditions, one operator leveraged acoustic monitoring technology to stay ahead of potential failures.

A proactive approach to blade health

Operating in a region with turbulent weather condition, the wind farm owner knew that blade integrity is a key factor in ensuring turbine availability. Waiting for visible signs of damage can lead to extended downtime and severe structural issues. To counter this, the operator deployed our acoustic ON-TOWER damage detection solution, :SURFACE HEALTH, designed to monitor changes in rotor blade condition acoustically and provide actionable alerts.

From sound to insight

The system continuously measures acoustic patterns from the outer two-thirds of the rotor blades. When an anomaly is detected, such as a change in sound due to damage like erosion, cracks, or delamination, it signals a potential blade issue.

 

Recently, two turbines in the Scandinavian wind farm showed abnormal acoustic activity on the dashboard: one turbine had been noisy for a longer period, and the other showed a recent increase in damage indicators. Based on this, the operator sent a service team to investigate.

 

On-site, technicians confirmed the problem: both turbines had seam seal issues on rotor blades. The damage was visible and the loud whistling sound during operation validated what the acoustic system had detected. Repairs were scheduled and completed shortly after.

 

The dashboard data clearly showed the damage progression until the repair, confirming that :SURFACE HEALTH provided early, actionable insights and helped avoid further deterioration.

Why :SURFACE HEALTH made the difference

• Early detection: Detected damage before it could escalate into major structural issues.
• Actionable insights: Provided clear indicators for targeted inspections, reducing unnecessary downtime.
• Improved operational planning: Allowed the operator to schedule repairs proactively and minimize energy production losses.

Conclusion

Acoustic damage detection is a vital component of modern wind turbine monitoring. By continuously tracking changes in blade condition, :SURFACE HEALTH enables operators to act quickly and prevent small issues from turning into costly failures.

Key takeaways

• Early action saves costs: Detecting blade issues early reduces repair expenses and downtime.
• Acoustic monitoring works: Acoustic detection offers reliable insights into rotor blade condition.
• Proactive monitoring extends turbine life: Investing in smart diagnostics leads to safer, more efficient wind farm operations.