Mean Time Between Failures (MTBF) is a reliability metric representing the predicted elapsed time between inherent failures of a repairable system. For systems with a constant failure rate [latex]\lambda[/latex], MTBF is its reciprocal: [latex]MTBF = 1/\lambda[/latex]. This simple relationship is fundamental in reliability engineering for predicting system uptime and planning maintenance schedules, assuming failures follow an exponential distribution.
MTBF Definition and Calculation
MTBF is a core parameter in reliability and availability analysis. It quantifies the average time that a system is operational before a failure occurs. The calculation [latex]MTBF = 1/\lambda[/latex] assumes that the system’s failures follow an exponential distribution, which corresponds to a constant failure rate. This assumption is often valid for electronic components during their useful life, after the initial ‘infant mortality’ phase and before the ‘wear-out’ phase, as depicted by the curva de bañera model of reliability.
The failure rate, [latex]\lambda[/latex], is typically expressed in failures per unit of time, such as failures per million hours. For example, if a component has a failure rate of 100 failures per 10^6 hours, its MTBF would be [latex]1 / (100 \times 10^{-6}) = 10,000[/latex] hours. It is crucial to understand that MTBF is a statistical average, not a guarantee of minimum operational time. In fact, for an exponential distribution, the probability of a system surviving up to its MTBF is only about 36.8% ([latex]e^{-1}[/latex]).
This metric is primarily used for repairable systems, where a failure is followed by a repair, returning the system to an operational state. For non-repairable items, the more appropriate metric is Mean Time To Failure (MTTF).
Tipo
Disruption
Utilización
Precursors
- actuarial science and life tables developed in the 17th century
- probability theory, particularly the work of poisson and others on random eventos
- quality control methods developed by walter a. shewhart in the 1920s
- operations research developed during world war ii
Aplicaciones
- predictive maintenance scheduling in fabricación
- data center uptime and hardware replacement planning
- aerospace system reliability analysis
- telecommunications network availability assessment
Patentes:
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Historical Context
MTBF Definition and Calculation
(if date is unknown or not relevant, e.g. "fluid mechanics", a rounded estimation of its notable emergence is provided)
Related Invention, Innovation & Technical Principles