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  2. Mean time between failures - Wikipedia

    en.wikipedia.org/wiki/Mean_time_between_failures

    Mean time between failures (MTBF) is the predicted elapsed time between inherent failures of a mechanical or electronic system during normal system operation. MTBF can be calculated as the arithmetic mean (average) time between failures of a system. The term is used for repairable systems while mean time to failure (MTTF) denotes the expected ...

  3. Mean time between outages - Wikipedia

    en.wikipedia.org/wiki/Mean_time_between_outages

    Mean time between outages. In a system the mean time between outages (MTBO) is the mean time between equipment failures that result in loss of system continuity or unacceptable degradation. The MTBO is calculated by the equation, where MTBF is the nonredundant mean time between failures and FFAS is the fraction of failures for which the failed ...

  4. Failure rate - Wikipedia

    en.wikipedia.org/wiki/Failure_rate

    Failure rate. Failure rate is the frequency with which an engineered system or component fails, expressed in failures per unit of time. It is usually denoted by the Greek letter λ (lambda) and is often used in reliability engineering. The failure rate of a system usually depends on time, with the rate varying over the life cycle of the system.

  5. Annualized failure rate - Wikipedia

    en.wikipedia.org/wiki/Annualized_failure_rate

    Annualized failure rate. Annualized failure rate (AFR) gives the estimated probability that a device or component will fail during a full year of use. It is a relation between the mean time between failure (MTBF) and the hours that a number of devices are run per year. AFR is estimated from a sample of like components—AFR and MTBF as given by ...

  6. Software reliability testing - Wikipedia

    en.wikipedia.org/wiki/Software_reliability_testing

    Software reliability is the probability that software will work properly in a specified environment and for a given amount of time. Using the following formula, the probability of failure is calculated by testing a sample of all available input states. Mean Time Between Failure (MTBF)=Mean Time To Failure (MTTF)+ Mean Time To Repair (MTTR ...

  7. Weibull distribution - Wikipedia

    en.wikipedia.org/wiki/Weibull_distribution

    In probability theory and statistics, the Weibull distribution / ˈwaɪbʊl / is a continuous probability distribution. It models a broad range of random variables, largely in the nature of a time to failure or time between events. Examples are maximum one-day rainfalls and the time a user spends on a web page.

  8. Soft error - Wikipedia

    en.wikipedia.org/wiki/Soft_error

    MTBF is usually given in years of device operation; to put it into perspective, one FIT equals to approximately 1,000,000,000 / (24 × 365.25) = 114,077 times longer between errors than one-year MTBF.

  9. MTTFd - Wikipedia

    en.wikipedia.org/wiki/MTTFd

    The relationship between MTBF and MTTF is expressed as: = + where MTTR is the mean time to repair. The MTTF of a system is the sum of MTTF S and MTTF D. To understand the relationship between MTTF S and MTTF D consider the case of a switch that turns a motor on or off. The switch has two failure modes: the switch can fail stuck closed or the ...