Wind Energy
Less downtime, more megawatts
Miraex delivers systems with unprecedented precision and robustness for wind turbine predictive maintenance, asset monitoring, and anomaly detection using its revolutionary ultra-sensitive harsh environment photonic sensors, together with its Machine learning (AI) software.
Wind Energy
Onshore and Offshore wind farms are growing tremendously across the globe, expected to increase 25 times over the next 20 years.

Offshore wind farms are prefered, due to stronger and more stable winds, but are extremely expensive to maintain and repair with larger ones requiring special boats and crew while smaller ones require helicopters.

A typical farm of 20 wind turbines of 3MW individual capacity has in average 4 failures per years, each of those leading to up to 10 days of downtime for maintenance or repair. In, without proper monitoring and optimization the turbine efficiency can be as low as 75% of their operating point.

Building more wind turbines is interesting, optimizing ON-time and maintenance costs of the existing and new ones is mandatory. Miraex provides solutions for accurate asset monitoring, improved predictive maintenance, and anomaly detection. This is key to maximizing ON-time, optimizing costs, and maintaining safety.
Challenges
Most predictive solutions are based on secondary sensor data, where sensors are placed away from the point of interest, in nearby "safe" places, compromising on the quality of information and insights.

The weakest and highest cost parts in wind-turbines (bearings, gearbox, generator) are also the parts in the harshest environments.

Wind Turbines operate in extremely salt-rich, high-humidity, and intense magnetic-field or high-voltage environments, which limits a traditional sensing system's precision and robustness.

The closer a sensor is placed to the point of interest, the more precise and reliable the information is, resulting in greater operational efficiency and lower overall costs.
Miraex Solution: the best of each world
Miraex designs, manufactures, and delivers best-in-class predictive maintenance, issue detection, and asset monitoring systems for your wind turbine's vibrating parts.

Miraex solutions combine revolutionary photonic sensors and machine learning (AI) to enable real-time accurate predictive/preventive maintenance, alert/condition monitoring, and anomaly/event detection.
Naturally immune to harsh environment
Ultra-small size for optimal integration
Extreme sensitivity
ML plateform benefits:
  • Scalable to millions of sensors
  • Predict issues sooner using better data
  • Improve signal quality
  • Make smarter decisions
Discover Photonic Sensing solutions
Miraex Solution: the best of each world
More accurate prediction, greater cost optimization
Improve operational efficiency. Reduce down-time
Improve operational performance and revenue
Single cloud-based or on-premise data storage providing a centralized view of operational performance.
Improve maintenance efficiency & assets
Better maintenance planning, prevention of unplanned downtime, extending asset lifetime.
Reduce down-time
For operator or service provider, improve wind farm ON-time. Reduce repair costs.
Workforce benefits
Easy to install, plug-and-play full-stack (HW to SW) solution
Web-based interface, or integrable API, to view and monitor from anywhere, anytime. Built for the operation team, failure analysis team, maintenance team,and asset manager
Head of operations can optimize asset capital investment lifecycle, plan for equipment replacement investment.
Failure engineers can improve productivity, repair planning and troubleshooting.
On-site operators have real-time asset health view, enabling lower down-time, improved repair time, and reduced cost.
Contact us