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  2. Mean time between failures - Wikipedia

    en.wikipedia.org/wiki/Mean_time_between_failures

    The Mil-HDBK-217 reliability calculator manual in combination with RelCalc software (or other comparable tool) enables MTBF reliability rates to be predicted based on design. A concept which is closely related to MTBF, and is important in the computations involving MTBF, is the mean down time (MDT). MDT can be defined as mean time which the ...

  3. 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.

  4. 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 ...

  5. Reliability, availability and serviceability - Wikipedia

    en.wikipedia.org/wiki/Reliability,_availability...

    Reliability can be characterized in terms of mean time between failures (MTBF), with reliability = exp(−t/MTBF). [5] Availability means the probability that a system is operational at a given time, i.e. the amount of time a device is actually operating as the percentage of total time it should be operating. High-availability systems may ...

  6. 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.

  7. Bathtub curve - Wikipedia

    en.wikipedia.org/wiki/Bathtub_curve

    The 'bathtub' refers to the shape of a line that curves up at both ends, similar in shape to a bathtub. The bathtub curve has 3 regions: The first region has a decreasing failure rate due to early failures. The middle region is a constant failure rate due to random failures. The last region is an increasing failure rate due to wear-out failures.

  8. 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 ...

  9. Failure mode, effects, and criticality analysis - Wikipedia

    en.wikipedia.org/wiki/Failure_Mode,_Effects,_and...

    Failure mode effects and criticality analysis (FMECA) is an extension of failure mode and effects analysis (FMEA). FMEA is a bottom-up, inductive analytical method which may be performed at either the functional or piece-part level. FMECA extends FMEA by including a criticality analysis, which is used to chart the probability of failure modes ...

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