Case study: Pitch bearing failure prediction

Modern wind turbines vary the pitch angle of the blade to optimize energy capture, requiring a pitch bearing at the base of each blade. The blade pitch bearings are subjected to demanding operating conditions and can be very costly to replace, as a large crane is usually required.

Read this case study to learn how SparkCognition’s Ensemble Energy platform can predict these failures, resulting in minimized turbine downtime, reduced crane callouts, and overall lower crane costs.

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