Minimize Costly Downtime and Maximize Turbine Efficiency

Minimize Downtime
Wind turbine downtime is not just an operational inconvenience it directly impacts energy output and revenue. With Werover’s Windrover technology, we help operators minimize turbine downtime by detecting damage early, reducing repair time and preventing unnecessary shutdowns.
The Hidden Cost of Blade Repairs
When a blade requires maintenance or replacement, the entire turbine must typically be stopped. Each hour of downtime can result in significant energy loss, especially for wind farms operating at scale. Over time, these interruptions translate into thousands of megawatt hours lost annually, not to mention increased labor and equipment costs.
By identifying damage before it escalates, Windrover allows repairs to be planned in advance and downtime to be minimized.

Real Impact Measurable Energy Savings
Thanks to early stage detection, our clients have been able to prevent losses of up to several MWh per incident. Preventing just one major unplanned shutdown can offset the cost of monitoring for an entire turbine.
This makes predictive maintenance not only safer, but also more profitable.
Plug and Play Hardware with Zero Downtime
Windrover is designed for quick and easy installation. Our device can be magnetically attached to the turbine in just two to three minutes, without needing to shut down or interfere with operations. This means no productivity is lost during deployment and no technicians are required to stop turbine activity for setup.
This simple yet robust installation method gives Windrover a clear edge over traditional sensor systems that require wiring, mounting brackets or extended technician access.
Designed for Operational Continuity
Our real time monitoring system operates continuously, detecting anomalies and transmitting alerts through the Windrover Dashboard/Mobile App. Since the system functions without interrupting the turbine’s daily activity, operators can monitor performance and schedule interventions at the most optimal time, not in response to emergency failures.