Failure Rate From Mtbf⚠ unverified
General Calculations / Reliability · Compute failure rate from mean time between failures
Parameters
| Input | Symbol | Unit | Default | Description |
|---|---|---|---|---|
| mtbf | mtbf | — | 1.0 | Mean time between failures, in time units |
| Output | Symbol | Unit | Description |
|---|---|---|---|
| result | λ_ | — | Constant failure rate, in failures per unit time. Returns 0.0 when ``mtbf`` is not positive |
The science & history
Understanding the Parameters
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MTBF — the mean time between failures, a characteristic time (Mtbf From Failure Rate). Longer MTBF means a lower failure rate; the two are strictly reciprocal under the constant-hazard model. (The registry labels it dimensionless; it is a time.)
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The output $\lambda$ — the constant hazard rate, in failures per unit time, feeding directly into $R(t) = e^{-\lambda t}$. Failure rates are often quoted in FIT (failures in time: one FIT = one failure per $10^9$ device-hours) for electronic components, a convenient unit for the very low rates of modern parts.
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Why rate, not time, for building systems. For a series system (all parts must work), the reliabilities multiply, $R_{sys} = \prod e^{-\lambda_i t} = e^{-(\sum\lambda_i)t}$, so the rates add: $\lambda_{sys} = \sum\lambda_i$. This additivity is why reliability predictions are done in rate space — summing component $\lambda$'s — and converted to MTBF ($=1/\lambda_{sys}$) only at the end.
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Constant-rate assumption. As with its inverse, the clean reciprocal is exact only for the exponential (constant-hazard) model. A time-varying hazard (Weibull Failure Rate, Bathtub Curve) has no single failure rate, so "$\lambda$ from MTBF" is meaningful only in the useful-life regime.
Derivation (Approaching a Proof)
The relation is the algebraic inverse of the mean-life result. Under the constant-hazard model the mean time between failures is $\text{MTBF} = 1/\lambda$ (derived by integrating the exponential survival function, Mtbf From Failure Rate). Solving for the rate:
$$\text{MTBF} = \frac{1}{\lambda} \quad\Longrightarrow\quad \lambda = \frac{1}{\text{MTBF}}. \qquad\blacksquare$$
The physical content is the additivity of rates it enables. For $n$ independent series components each with constant rate $\lambda_i$, the system survival is the product $\prod_i e^{-\lambda_i t} = \exp(-\sum_i\lambda_i\,t)$, identifying the system rate as $\lambda_{sys} = \sum_i \lambda_i$ and hence $\text{MTBF}_{sys} = 1/\sum_i\lambda_i$. Working from MTBF back to $\lambda$ is the step that lets component reliabilities be combined.
Dimensional check. MTBF is in hours, so $\lambda = 1/\text{MTBF}$ is in $\text{1/h}$. $\checkmark$
History and Development
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The reciprocal pair. This calculator and Mtbf From Failure Rate are exact inverses — a deliberate convenience pair, since practitioners quote reliability sometimes as a rate ($\lambda$, FIT) and sometimes as a time (MTBF) and must move freely between them.
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FIT and component data. Semiconductor and electronics reliability is tabulated in FIT (failures per $10^9$ hours), summed across a bill of materials to predict board- and system-level rates — the practical embodiment of rate additivity.
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Series-system limits. The additivity of rates makes series systems less reliable than any single component (more parts, more total rate), the driving motivation for redundancy and parallel architectures, whose reliability does not combine by simple rate addition.
Related Concepts: Mtbf From Failure Rate, Exponential Reliability, Availability, Weibull Failure Rate, Bathtub Curve, Hazard Rate Ratio
Notes: Registry calculator failure-rate-from-mtbf (unverified). $\lambda = 1/\text{MTBF}$ — correct as
shipped; exact inverse of Mtbf From Failure Rate (reciprocal duplicate pair). Rates add for series systems
($\lambda_{sys}=\sum\lambda_i$); often quoted in FIT ($10^{-9}/\text{h}$). Valid for constant hazard. Registry
labels MTBF dimensionless (is a time). Returns $0$ if MTBF $\le0$.