Predictive maintenance: what Duke Energy's sensor AI does
Duke Energy says its machine learning models flag turbine failures two to three weeks out. The episode asks what was actually built and what a smaller operator can copy. The position taken here: the prediction is not the value, the lead time is. Moving a repair from an unplanned trip with spot market replacement power into a scheduled outage is where the money sits.
You come away knowing how the sensor-to-model pipeline works, why labelling past failures in the data historian is most of the work, why models stay silent on failure modes absent from training data, how false positive thresholds…
The skinny
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