Predictive Maintenance for Wind Turbines is an Essential Strategy Aimed at Minimizing Downtime

Volta Insite uses Electrical Signature Analysis on the generator of the turbine system to constantly monitor the health of the entire wind turbine. Volta Insite collects real-time data, which is then analyzed by InsiteAI, using sophisticated algorithms to detect any deviations from normal operating conditions. By analyzing trends and patterns in the data, potential issues can be identified before they escalate into major failures, allowing for timely intervention.

Turbine failure can easily result in downtime of weeks or more, resulting in expensive downtime costs.The integration of InsiteAI enables remote monitoring and diagnostics of wind turbines. Maintenance teams can access real-time health status and performance metrics of individual turbines from a centralized control center. This remote monitoring capability facilitates early detection of potential issues, allowing for timely intervention regardless of the turbine's location. Additionally, predictive maintenance data can be integrated with asset management systems to optimize maintenance schedules, inventory management, and resource allocation, ultimately enhancing the overall reliability and availability of wind turbine assets.

Making Operations Run Smoothly for Your Business

Enhanced Equipment Lifespan

Protect your critical equipment and achieve a better ROI on every asset.

Optimal Energy Use

Benefit from real-time monitoring to ensure energy efficiency.

Predictive Maintenance

Reduce downtimes and keep your operation running smoothly.

What Our Partners Say

Image of motor about testimony on several current single-phase events

"Our site saw several current single-phase events. The utility stated it was not on their side, but Volta InsiteAI showed otherwise. This helped prove that the power feed was the culprit and impacting our operations. Since we switched to the new transformer we have not had this issue again."

- J.H.

Applications Engineer