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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. List of software reliability models - Wikipedia

    en.wikipedia.org/wiki/List_of_software...

    2.0 Overview of Software Reliability Growth (Estimation) Models Software reliability growth (or estimation) models use failure data from testing to forecast the failure rate or MTBF into the future. The models depend on the assumptions about the fault rate during testing which can either be increasing, peaking, decreasing or some combination of ...

  4. Human error assessment and reduction technique - Wikipedia

    en.wikipedia.org/wiki/Human_error_assessment_and...

    It provides ready linkage between Ergonomics and Process Design, with reliability improvement measures being a direct conclusion which can be drawn from the assessment procedure. It allows cost benefit analyses to be conducted; It is highly flexible and applicable in a wide range of areas which contributes to the popularity of its use [3]

  5. IAS 8 - Wikipedia

    en.wikipedia.org/wiki/IAS_8

    A change in accounting estimate is "an adjustment of the carrying amount of an asset or liability, or the amount of the periodic consumption of an asset, that results from the assessment of the present status of, and expected future benefits and obligations associated with, assets and liabilities.

  6. Physics of failure - Wikipedia

    en.wikipedia.org/wiki/Physics_of_failure

    More recent work in the area of physics of failure has been focused on predicting the time to failure of new materials (i.e., lead-free solder, [18] [19] high-K dielectric [20]), software programs, [21] using the algorithms for prognostic purposes, [22] and integrating physics of failure predictions into system-level reliability calculations. [23]

  7. Generalizability theory - Wikipedia

    en.wikipedia.org/wiki/Generalizability_theory

    For example, a soft drink company might be interested in assessing the quality of a new product through use of a consumer rating scale. By employing a D study, it would be possible to estimate how the consistency of quality ratings would change if consumers were asked 10 questions instead of 2, or if 1,000 consumers rated the soft drink instead ...

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  9. Reliability engineering - Wikipedia

    en.wikipedia.org/wiki/Reliability_engineering

    Reliability engineering is a sub-discipline of systems engineering that emphasizes the ability of equipment to function without failure. Reliability is defined as the probability that a product, system, or service will perform its intended function adequately for a specified period of time, OR will operate in a defined environment without failure. [1]