Video details
Many organizations have a number of condition monitoring systems in place to detect failures and degradation on critical assets. But in many cases specialists spend hours a data combing through data in different systems to interpret the status and health of their assets.
In this demo we will discuss how enabling digital twin models through GE Digital's predictive diagnostics can integrate these conditional data sources intro a central fault and diagnostic model that predicts early deviations of conditional performance, diagnoses what failure mode your at risk for and how critical the issue is and ultimately forecasts how long you have till degradation gets to an alarm state.
