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PM Interval Calculator

Most PM intervals are inherited, not chosen — copied from an OEM manual or from whoever set the system up. This finds the interval where total expected cost is actually lowest.

Asset & Failure Parameters
Zero if the PM happens during planned downtime.
Repair plus downtime plus scrap. Use the downtime calculator.
How long the asset typically runs before this failure.
Warning window: from when the failure first becomes detectable to when it actually happens. This is the input that decides the interval — see below.
Share of detected problems you successfully act on in time.
Optimal interval
Total expected cost at that interval
Cost of doing nothing
Annual saving vs no PM

The P-F Interval — The Number That Actually Sets Your Schedule

Most maintenance intervals get argued about using the wrong number. People reach for mean time between failures, but MTBF tells you how often a thing breaks, not how much warning you get — and warning is what an inspection is buying.

The right number is the P-F interval. Failures rarely happen instantly. There is a point P where the problem first becomes detectable — a bearing starts running warm, oil analysis shows metal, a reading drifts — and a later point F where the thing actually fails. The gap between them is your warning window.

That gives a blunt rule: if you inspect less often than the P-F interval, you will miss failures no matter how good the inspection is. A perfect quarterly inspection cannot catch a problem whose entire warning window is three weeks.

How the calculation works

For each candidate interval it adds two costs over your planning horizon:

  • PM cost — how many times you do the PM, times what each costs in labour, parts, and lost production.
  • Expected failure cost — the failures you still expect. An inspection every T days catches a developing failure roughly min(1, P-F ÷ T) of the time, multiplied by how reliably your team acts on what it finds.

The optimum is where the sum is lowest. Below the P-F interval you are paying for inspections that cannot catch anything extra; above it, you start missing failures in proportion to how far past it you go.

Typical P-F intervals

Vibration analysis on a bearing might give months of warning; oil analysis, weeks to months; audible noise, days. The same bearing has a different P-F interval for each detection method — which is why upgrading the inspection technique often beats shortening the interval. Many reliability programmes deliberately inspect at half the P-F interval to leave room to plan the repair rather than scramble.

The honest caveat

This assumes a roughly constant failure rate, which is a real simplification — many components have a wear-out curve where risk climbs steeply with age, and a few have infant mortality where a fresh intervention makes things worse before better. It also assumes inspections are independent and that you know the P-F interval, which is usually an estimate. Use this to sanity-check an inherited interval and frame the conversation, not as a substitute for reliability analysis on a critical asset.

The Better Version Of This

The strongest input to a PM interval is not a model — it is your own completion and failure history. Once you have a few cycles logged against an asset, the data tells you directly whether you are over- or under-maintaining it.

That is the argument for capturing measurements rather than just completions. A PM record that says "done" tells you nothing. One that says the screw clearance was 0.9mm, then 1.2mm, then 1.6mm tells you exactly when the next one is due — see the screw and barrel wear inspection for what that looks like in practice.

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