Solution Overview
ECG's Predict-It anomaly detection software monitors the real-time health of assets. As utilities transition to condition-based maintenance practices over scheduled maintenance, Predict-It ensures that plant equipment is running as intended, negating the need for time-based maintenance strategies. With early indication, Predict-It ensures equipment is running at peak efficiency during extended maintenance intervals. As long as measurements can be communicated to an AVEVA PI System, Predict-It can address and analyze it.
With Predict-It, users are capable of identifying both the most obvious and subtle problems which might otherwise go unnoticed. Early warning enables condition based maintenance which makes it possible to devote a greater percentage of downtime to corrective repair activities rather than troubleshooting or unnecessary inspections. The solution has the ability to use real-time data to calculate an expected relationship among variables and alarm at the onset of developing issues, eliminating failures that could lead to expensive forced outages. It continuously provides the foresight and advanced warning to perform necessary maintenance before these problems compromise operating results.
Solution Approach
Increase the reliability of your plant assets and keep it operating at its optimal standard with Predict-It. ECG’s Predict-It software can be applied to any equipment or OEM machine that streams operational data to the AVEVA PI System. Individual asset behavior is modeled from prior history contained in the PI Data Archive. Minor changes in asset variables are detected and communicated through the software. This has proven helpful to users in the Power Generation, Oil and Gas, Utilities, Chemical Processing, and Pipeline Monitoring.