Reliability calculators

Three everyday tools for the reliability engineer — 100% in your browser: no data leaves this page.

Guide — How to use

The theory behind the three tools, what each parameter actually is, where the data comes from and how to read the results. Not everyone carries this by heart — that is what this guide is for.

Open the full guide

2-parameter Weibull

Fw A reading: Wear-out (β>1)
β — shape parameter2.00
R(500h)77.88%

chance of passing 500 h without failing

F(500h)22.12%

share already failed by 500 h

h(500h)0 failures/h

risk of failing in the next hour

MTTF = η·Γ(1+1/β)886.23 h≈ 36.9 days

mean life to failure

B10 life324.59 h≈ 13.5 days

age at which 10% of the population has failed

R(t)

h(t)

R(t) = exp(−(t/η)^β) · h(t) = (β/η)·(t/η)^(β−1). Validated against Smith (2004) and known properties (R(η)=e⁻¹). The note's editorial category prevails over this didactic reading.

MTBF · MTTR · Availability

Inherent availability Ai99.0099%

share of time fit for duty (technical repair only)

λ0 failures/h

failure frequency (λ = 1/MTBF)

Annual downtime86.7 h/yr≈ 3.6 days/yr

expected downtime hours per year

Ai = MTBF/(MTBF+MTTR) — inherent availability (Smith 2004, ch. 2). Reference year: 8760 h.

P-F interval

Adequate
Recommended (P-F/2)4.5

maximum inspection interval (P-F/2)

Detection chances in the window3

possible detections before failure

Margin (P-F − inspection)6

route slack — negative = cannot get there in time

An on-condition task is only effective if inspection fits the P-F window — consecrated practice: inspection ≤ P-F/2 (Moubray, RCM II ch. 8).