Power Analytics for Power Plant
- Analytics & Modeling - Predictive Analytics
- Machine Condition Monitoring
Given low power prices maintained by stagnant demand growth, a customer’s combined cycle power plant was staffed as leanly as possible. As such, a change in operational parameters went unnoticed by engineers at the plant.
Monitoring hundreds of sensors per turbine on a daily basis, GE’s Asset Performance Management detected the change in operational parameters and generated daily reports revealing the specifics of this irregularity. In turn, GE’s IPRC engineers drew upon their depth of experience with Power analytics to acknowledge the severity of the increased spread and proactively notified the customer of this issue before it triggered equipment failure. As the spread increased, GE’s IPRC engineers recommended, during a weekly status update call, that the customer perform an inspection to determine the root cause of the increased spread. The inspection uncovered a defect in the equipment, so the customer planned downtime during which they replaced the faulty piece. Upon replacement, the operational parameter returned to model-predicted values.
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