Using a Digital Twin in Predictive Maintenance
Often it is too difficult to create the fault conditions necessary for training a predictive maintenance algorithm on the actual machine. A digital twin generates simulated failure data, which can then be used to design a fault-detection algorithm.
Machine-Learning Approach Improves Deepwater Facility Uptime
This paper describes an automated work flow that uses sensor data and machine-learning (ML) algorithms to predict and identify root causes of impending and unplanned shutdown events and provide actionable insights.
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14 September 2020
11 September 2020
09 September 2020