Inspection and Predictive Maintenance for Wind Turbines

Client: A wind energy company operating a large wind farm with over 100 turbines

Challenge: The client faced frequent downtime due to undetected wear and tear on turbine blades and mechanical components. Traditional inspections involved costly manual labor and were time-consuming, requiring turbines to be shut down temporarily, which impacted energy production.

Solution: Clame deployed drones equipped with high-definition cameras and thermal imaging sensors to inspect each wind turbine without needing to halt operations. The drones captured detailed imagery of the blades, nacelles, and tower structures, detecting early signs of wear, corrosion, and overheating in electrical components. Data was processed and analyzed using Clame’s predictive maintenance system, identifying potential failures before they occurred.

Results:

• Maintenance costs were reduced by 30%, as issues were identified early, allowing for targeted repairs rather than costly emergency shutdowns.
• Turbine downtime was decreased by 25%, leading to a 10% increase in overall energy production.
• Inspections were completed 50% faster than traditional methods, and no turbines needed to be taken offline during the drone inspections.