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  2. Mean time between failures - Wikipedia

    en.wikipedia.org/wiki/Mean_time_between_failures

    The MTBF and have units of time (e.g., hours). Any practically-relevant calculation of the MTBF assumes that the system is working within its "useful life period", which is characterized by a relatively constant failure rate (the middle part of the "bathtub curve") when only random failures are occurring. [1]

  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 prediction for electronic components - Wikipedia

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

    MTBF (mean operating time between failures) applies to equipment that is going to be repaired and returned to service, MTTF (mean time to failure) applies to parts that will be thrown away on failing. During the ‘useful life period’ assuming a constant failure rate, MTBF is the inverse of the failure rate and the terms can be used ...

  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. Worst-case circuit analysis - Wikipedia

    en.wikipedia.org/wiki/Worst-case_circuit_analysis

    Calculate the variance of each component parameter as sensitivity times absolute tolerance; Use at least two methods of analysis (e.g. hand analysis and SPICE or Saber, SPICE and measured data) to assure the result; Generate a formal report to convey the information produced; The design is broken down into the appropriate functional sections.

  8. Talk:Mean time between failures - Wikipedia

    en.wikipedia.org/wiki/Talk:Mean_time_between...

    Now the formulae do need to know MDTs to calculate MTBFs in general case (and vice versa), but that's a fact of life (the faster you repair parallel components - the less chances are for the whole system to fail, and IMO all the math models which assume that the time is discreet and everything is fixed on the next time slot - are significantly ...

  9. Fault tree analysis - Wikipedia

    en.wikipedia.org/wiki/Fault_tree_analysis

    A fault tree diagram. Fault tree analysis (FTA) is a type of failure analysis in which an undesired state of a system is examined. This analysis method is mainly used in safety engineering and reliability engineering to understand how systems can fail, to identify the best ways to reduce risk and to determine (or get a feeling for) event rates of a safety accident or a particular system level ...