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Discover how SparkCognition minimizes costly turbine downtime by predicting pitch bearing problems remotely and accurately. In this case study, learn how:

Traditional approaches for evaluating pitch-bearing wear and tear are inefficient.

SparkCognition uses advanced algorithms to automatically monitor pitch bearing health 24/7.

SparkCognition Industrial AI Suite for Renewables predicts pitch-bearing issues and optimizes repair scheduling.

CASE STUDY

Predicting Pitch Bearing Failure

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