Transparency

Accurate in, accurate out

WheelHub is only as accurate as the data it is given. Its trends, classifications, and forecasts are derived from your CALIPRI readings and from how each upload is consolidated with your fleet — so the quality of those inputs determines the quality of the output.

Your results are only as good as your data

WheelHub is an analytics layer over your CALIPRI measurements — it visualises profiles, classifies dimensions against your measurement plan, trends wear, and forecasts remaining life. Every one of those outputs is downstream of decisions made before the data reaches us: how the readings were taken, and how each upload is consolidated with the right set and the right wheels.

We are deliberate about this because the people reading these numbers make maintenance decisions on them. We show you what was measured and where it is trending — we cannot vouch for how well it was measured or that it was filed against the correct asset. That part stays with you, and we make it easy to get right.

What accuracy depends on

Three inputs WheelHub relies on but cannot take for you.

Quality of the readings

WheelHub analyses the measurements in your CALIPRI export — it does not take them. A mis-calibrated probe, poor surface contact, the wrong measurement plan, or a field error carries straight through into every profile, classification, and trend. We surface what was measured; we cannot certify how well it was measured.

Correct consolidation with the set

Each upload is consolidated against an existing train set. If a file is committed to the wrong set, or a wheel is mapped to the wrong position, the resulting history and forecasts describe the wrong asset. The matching shown at upload is a proposal for you to confirm, not a guarantee.

Accurate lifecycle history

A per-wheel trend is only meaningful when its machining, replacement, and position changes are recorded correctly. An unrecorded re-profiling, a missed replacement, or an unflagged position switch breaks the continuity WheelHub relies on to detect wear reversions and project remaining life.

What that means for you

Confirm the measurement plan and reading quality before trusting a classification.
Verify each upload is consolidated with the correct set and wheel positions before committing.
Keep machining, replacement, and position-switch history accurate so trends and forecasts stay valid.
Treat classifications, trends, and remaining-life forecasts as decision support — not as a substitute for inspection judgement or your maintenance regime.

Disclaimer

WheelHub provides visualisation and analytics to support your wheel-maintenance decisions. It does not measure wheels, certify measurements, or replace professional inspection, engineering judgement, or regulatory compliance. All classifications, trends, and forecasts are derived from the data you provide and the consolidation choices you confirm; verify against your source records before acting on them.

A reading or result not looking right?

Tell us what you are seeing and we'll help you trace it back to the reading or the consolidation step behind it.

Talk to support How it works