One of the most important reliability parameters is the mean time to failure (MTTF). It is widely accepted that the MTTF is equal to the mean time of life ET. This article shows that this is not necessarily true. Although for the most commonly used statistical distributions (such as exponential, Gaussian, chi-square, Fisher-Tippett distributions) the values of MTTF and ET are equal, this is not the case for the log-normal distribution. Similarity, some less commonly used distributions (such as Breit-Wigner distribution) may also require calculation adjustments resulting from MTTF ≠ ET. Ignoring this discrepancy, an erroneous MTTF value can be obtained.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Is Mean Time to Failure (MTTF) Equal to Mean Time of Life for Unrepairable Systems?


    Beteiligte:


    Erscheinungsdatum :

    2021




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Reasoning About Mean Time to Failure in Vehicular Clouds

    Ghazizadeh, Puya / Florin, Ryan / Zadeh, Aida Ghazi et al. | IEEE | 2016


    Reasoning About Mean Time to Failure in Vehicular Clouds

    Ghazizadeh, Puya | Online Contents | 2015


    Reasoning About Mean Time to Failure in Vehicular Clouds

    Ghazizadeh, Puya | Online Contents | 2016


    MTTF Prediction in Design Phase on Thales Cryogenics Integral Coolers

    Cauquil, J. M. / Martin, J. Y. / Bruins, P. et al. | Springer Verlag | 2002


    Towards Approximating the Mean Time to Failure in Vehicular Clouds

    Florin, Ryan / Ghazi Zadeh, Aida / Ghazizadeh, Puya et al. | IEEE | 2018