Werover provides a real-time blade health monitoring system for wind turbines that utilizes acoustic data processing and AI to detect defects early, enabling continuous remote monitoring without downtime. This technology reduces maintenance and repair costs by 50% while maximizing asset value and minimizing losses from inadequate inspections.
Funding
$420K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
AAFounders
Product
Problem
Wind turbine blades are exposed to harsh environmental conditions, leading to wear, tear, and potential structural failures. Traditional inspection methods are often costly, time-consuming, and may require turbine downtime, hindering proactive maintenance and early detection of defects.
Solution
Werover's Windrover system provides real-time blade health monitoring for wind turbines, enabling early detection of defects through acoustic data processing and AI-powered analytics. The system analyzes acoustic emissions from the blades to identify anomalies and provide early warnings of potential damage. This allows wind farm operators to minimize operational risks, enhance energy production efficiency, and reduce long-term maintenance costs by addressing issues before they escalate into major problems. The Windrover system is designed for easy installation and continuous remote monitoring, eliminating the need for turbine downtime during inspections.
Target Audience
Werover's primary customers are wind farm operators and maintenance teams seeking to improve turbine reliability, reduce maintenance costs, and maximize energy production through proactive blade health monitoring.
Features
- Real-time acoustic monitoring of wind turbine blades
- AI-driven analytics for early detection of micro-cracks, erosion, and other defects
- Continuous remote monitoring without turbine downtime
- Early warning system for proactive maintenance
- Reduction of maintenance and repair costs
- Web application for accessing turbine health results
- Customizable alerts for specific damage types