Case Study: Main Bearing Pulse

Optimize what you already have with WindESCo's Main Bearing Pulse

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:

• Main Bearing Pulse
• Typical anomaly detection approaches
• WindESCo's approach & what we detected at our client's site

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