Using Machine Learning models and statistical testing we develop  anomaly detection and  prediction system that could:

 

• Enable practical application of Predictive Maintenance and reduction of spare part stocking

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• Improve reliability by reducing downtime, and associated costs from forced outage through preemptive repair work