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What makes EPI*Center different?_

EPI*Center recognizes that every piece of equipment is unique.

EPI*Center creates personalized, empirical models of each piece of critical equipment across all known loads, ambient conditions, and operational settings.

Then, in real time, for each piece of equipment, EPI*Center captures snapshots of all the signals. It compares the snapshots created for an asset to the asset’s unique fingerprint. In doing so, the results are normalized for operational load and ambient conditions. This means that any normal variation is removed from the analysis, and any remaining variation is abnormal. If one or more of the observations does not fit the model signature for an extended period of time, it is logged to the EPI*Center WatchList, which is an exception-based list of all developing equipment and process problems. Based upon the persistence and pattern of fingerprint deviations, EPI*Center then provides the intelligence to detect, diagnose, and prioritize problems well before they occur.

"predictive analytics [from SmartSignal] allowed Bighorn to shift what would likely have been an unplanned maintenance event to planned maintenance; plus, early action avoided damage that might have required significant outage time to address."

As Appeared in Combined Cycle Journal
2Q, 2009