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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. Annualized failure rate - Wikipedia

    en.wikipedia.org/wiki/Annualized_failure_rate

    For example, AFR is used to characterize the reliability of hard disk drives.. The relationship between AFR and MTBF (in hours) is: [1] = (/) This equation assumes that the device or component is powered on for the full 8766 hours of a year, and gives the estimated fraction of an original sample of devices or components that will fail in one year, or, equivalently, 1 − AFR is the fraction of ...

  4. Failure rate - Wikipedia

    en.wikipedia.org/wiki/Failure_rate

    The mean time between failures (MTBF, /) is often reported instead of the failure rate, as numbers such as "2,000 hours" are more intuitive than numbers such as "0.0005 per hour". However, this is only valid if the failure rate λ ( t ) {\displaystyle \lambda (t)} is actually constant over time, such as within the flat region of the bathtub curve.

  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. Fides (reliability) - Wikipedia

    en.wikipedia.org/wiki/Fides_(reliability)

    Fides (Latin: trust) is a guide allowing estimated reliability calculation for electronic components and systems. The reliability prediction is generally expressed in FIT (number of failures for 10 9 hours) or MTBF (Mean Time Between Failures). This guide provides reliability data for RAMS (Reliability, Availability, Maintainability, Safety ...

  7. 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)

  8. Reliability prediction for electronic components - Wikipedia

    en.wikipedia.org/wiki/Reliability_prediction_for...

    A prediction of reliability is an important element in the process of selecting equipment for use by telecommunications service providers and other buyers of electronic equipment, and it is essential during the design stage of engineering systems life cycle. [1] Reliability is a measure of the frequency of equipment failures as a function of time.

  9. Mean time between outages - Wikipedia

    en.wikipedia.org/wiki/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,