Case Study: Pitch Bearings Company predicts pitch bearing failures with SparkCognition

Pitch Bearings Company - Customer Case Study

Pitch Bearings Company, a wind energy operator, faced the challenge of predicting costly pitch bearing failures on its turbines. Traditional grease sample analysis was expensive, time-consuming, and often ambiguous. To address this, they partnered with SparkCognition to utilize its Ensemble Energy platform for a more efficient predictive solution.

SparkCognition implemented a solution using its AI algorithms on the Ensemble Energy platform to analyze existing turbine sensor data remotely. This approach predicted failures with over 90% accuracy up to six months in advance, allowing for optimized repair scheduling. This resulted in significant cost savings, upwards of $150,000 per event by enabling multiple repairs in a single, costly crane callout.