PREDICTIVE MAINTENANCE
Minimizing turbine downtime
We are using data and condition monitoring to predict when a component will fail, so maintenance is performed just in time.
We Maximize uptime and minimize unnecessary maintenance.
Techniques we can use:
• Vibration analysis → Detects bearing and gearbox issues.
• Oil particle analysis → Finds early signs of wear.
• Thermal imaging → Identifies overheating components.
• SCADA data analytics → Tracks turbine performance trends.
• AI/ML models → Forecast failures based on historical data.
We reduce downtime, optimizing maintenance costs, increases turbine lifetime.
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PREVENTIVE MAINTENANCE
Minimizing turbine downtime
We Scheduled, proactive servicing of wind turbines at fixed intervals (e.g. every 6 months).
We Reduce the likelihood of failures by replacing worn components and performing routine checks.
Our Typical tasks are:
• Oil and filter changes in gearboxes.
• Checking bolt torque, lubrication of bearings.
• Blade inspection for cracks or erosion.
• Electrical system checks (generators, converters).
We Keeps turbines in good condition, predictable scheduling.
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