In today's competitive landscape of wind energy, operational efficiency and predictive maintenance are paramount. At WindESCo, we have revolutionized the approach to detecting impending main bearing issues using our innovative semi-supervised machine learning modeling. Leveraging your existing 10-minute SCADA and operational data, our solution achieves unparalleled accuracy exceeding 90%.
Designed for scalability and reliability, Pulse not only helps to anticipate issues before they occur but also deliver substantial economic benefit. For instance, our predictive analytics demonstrate a compelling 5-year NPV of $1.9 million, showcasing tangible and sustainable value for wind farm operators.
In this case study, we'll highlight: