StroboX for Wind Turbine Maintenance

StroboX Use for Predictive Maintenance of Wind Turbines

Challenges in Wind Turbine Maintenance

01

Ensuring the reliability and efficiency

Ensuring the reliability and efficiency of wind turbine blades and components (operating speeds up to 20 RPM for large turbines).

02

Detecting potential failures.

Detecting early signs of wear, misalignment, and potential failures.

03

Reducing maintenance costs

Reducing maintenance costs and operational downtime.

StroboX Solution

StroboX determines the rotational speed of wind turbine blades, uses stroboscopic imaging to visually stop the movement, and employs AI to compare real-time images to expected operational standards. This allows for early identification of issues and potential failures while the turbines are running at full speed.

Key Features and

Integration Potential

Automatic Speed Detection

Measures and adapts to the rotational speed of turbine blades.

Stroboscopic Imaging

Captures clear images of rotating components.

AI Analysis

 Identifies wear, misalignment, and defects by comparing images to standards.

Integration with Wind Turbine Management Systems

Seamless compatibility for continuous monitoring and predictive maintenance.

AI Analysis 

Feature:
Early detection of wear and misalignment.

Benefits:
Enhanced turbine efficiency, reduced downtime, and lower maintenance costs.

Challenges and Considerations

  • Adapting to various turbine designs and environments.
  • Training personnel for effective use and data interpretation.

Market Potential

The renewable energy sector’s focus on operational efficiency and reliability supports the adoption of advanced predictive maintenance technologies like StroboX for wind turbines.