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Predictive Analytics Engineered
OptimalTREND™ Wiki
Predictive maintenance, done properly. OptimalTREND™ watches your assets, learns what normal looks like, and warns you weeks before a failure – so a breakdown becomes a planned job. The discipline on one side, the app and its deployment on the other.
Predictive maintenance
From reactive to predictive, and why on-condition beats on-calendar.
ReadMethodDetecting failures
Anomaly detection, remaining useful life and a live estimator.
ReadValue and configValue and deployment
The value it returns and the sensors and data it takes.
ReadOptimalTREND™ mobile app
Asset health, anomaly alerts and remaining useful life on the move. Built in Flutter.
Available on Android and iOSWhat OptimalTREND™ does
OptimalTREND™ connects to your existing sensors, historian or SCADA, learns each asset’s normal behaviour, and flags the subtle multivariate changes that precede failure. It ranks anomalies by severity, estimates remaining useful life, and points at the likely cause, so maintenance is scheduled on evidence rather than on a calendar or a breakdown.
Where to start
- New to it? Start with predictive maintenance, then condition monitoring and the P-F curve.
- Want the method? Detecting failures has the approach and a live estimator.
- Building a case? Value and deployment covers the value and the config. Open the demo at demo.trend, or see every app at apphub.optimalworld.org.