Predictive Maintenance Solutions for Wind Turbines
Make Smarter Decisions and Take Corrective Actions to Prevent Unplanned Component Failure and Maximize Productivity
Ensure Reliability, Safety and Profitability of Your Wind Operation
DINGO monitors wind turbine health data for the top renewable energy companies across North America to prevent unplanned failures and maximize productivity. By leveraging a rules-based predictive analytics engine and a proprietary turbine health database, we have the power to improve the health and performance of your entire fleet or a specific subset of your fleet.
We currently monitor over 25 GW of wind turbine capacity in Trakka® across 24 U.S. states and 10 Canadian provinces. Moreover, we can provide extensive benchmarking data and insights on how to improve your fleet’s energy output based our global asset health database of over 10,000 wind turbines, covering all of the major equipment manufacturers, including GE, Vestas, Mitsubishi, Alstom, Gamesa, and Siemens.
Actionable intelligence that drives results
In components operating in normal condition
In component life
3:1 program ROI
With typical payback of 6 months or less
“DINGO’s Trakka® software has exceeded expectations, and the visibility and trending capabilities are excellent. This system also helps us prevent unplanned failures by quickly alerting us to high particle count and ferrous wear in gearboxes, allowing us to perform filtration before any real damage and costly downtime occurs.”
– Reliability engineer in the wind performance group at mid-America
Predictive Maintenance Solutions
for Renewable Energy Industry
DINGO unites 30+ years of expertise with industry-leading predictive maintenance technology to help industrial companies quickly and cost-effectively implement Asset Health programs that increased availability, extended component life and reduced operating costs.
Trakka® Predictive Maintenance Software
Distill data down to actions that drive results with cloud-based predictive analytics and workflow management software.
Trakka® Asset Health Manager App
Enable your team to access, understand and act on their equipment condition anytime, anywhere.
Detected abnormalities and analyze anomalies to predict the time until asset/component failure with a high degree of accuracy.
Partner with DINGO’s condition management experts to implement and support a world-class predictive maintenance program.
Proactively Make the Right Decisions
at Every Level of Your Organization
Find out how DINGO can help you bring people, processes and data together
to make a real impact on your operations and your bottom line.