OptimalTREND™Predictive analytics

Use cases → Reliability engineer

For the reliability engineer.

You are asked which asset will fail and when. OptimalTREND™ gives you the developing fault, its severity and the life left, from the data you already have.

The problem

Alarms that fire too late, or not at all.

A threshold on an overall level catches a fault when it is nearly failed, and a calendar route misses the random ones entirely. The warning arrives with no time to act.

Detect early

Envelope and band alarms on the fault frequencies catch the defect at stage one, weeks to months out.

Diagnose the cause

Waveform, spectrum and phase separate imbalance, misalignment, looseness and bearing wear.

Estimate the life

Remaining useful life from the real degradation trend, updated on every reading.

The outcome

What good reliability engineering returns.

Ranges confirmed across Optimal client engagements. Illustrative, not a guarantee.

+3–7%
Asset availability
−8–20%
Maintenance cost
+10–25%
Productivity
−5–10%
Spares inventory

"The first time the alarm named the bearing and gave us six weeks, we planned the swap into a shutdown instead of chasing it at 2am."

Illustrative of the reliability-engineer workflow. Replace with a named client quote in the build.

Put a real warning window in front of your plant.

Start a 14-day trial and work your real assets on real data.

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