Lead Data Analyst Deriva Energy Charlotte, North Carolina
Presentation Description: Wind turbine component failures are a leading cause of downtime, lost revenue, and expensive repairs across the wind industry. Equipping performance engineers with the ability to detect signs of impending failure give an operator the capability to inspect and make repairs on their own timeline, resulting in significant cost reduction. This Advanced Analytics project consolidated data from disparate systems to model normal behavior and issue warnings when indicators of failure are present. This solution is enhancing visibility across systems and automating a previously slow and manual effort, bringing alerts forward in time and enabling technicians to keep our fleet running better and longer.
