A reliability prediction model was developed for missile systems based on a truncated Weibull distribution both time and failure truncated cases. In practice, there are usually limited test data available in the development and in most cases test phases of missile systems, and the obtained data are failure and time truncated. Thus in this paper we developed a time and failure truncated Weibull model for reliability analysis of missile systems under development. The central purposes of this model are focussed on the analysis on the present system reliability and the prediction of the system reliability at some future time based on obtained test data. For the purpose of computing, a computer program was developed and have shown the prediction results through a sample problem. This model can be applied to a wide variety of systems


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A reliability prediction model for missile systems based on truncated Weibull distribution


    Additional title:

    Ein Zuverlässigkeits-Entscheidungsmodell für Flugkörpersysteme auf der Basis eines beschnittenen Weibull-Verteilungsmodells hinsichtlich Zeit und Störung


    Contributors:


    Publication date :

    1996


    Size :

    4 Seiten, 10 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Statistical distribution model of field reliability based on phased Weibull distribution

    Jianxiang,Z. / Xiang,G. / Mingfeng,Z. et al. | Automotive engineering | 2007


    Statistical Distribution Model of Field Reliability Based on Phased Weibull Distribution

    Xiang, Gao / Jianxiang, Zheng / Mingfeng, Zhou | SAE Technical Papers | 2007


    Condition and Reliability Prediction Models Using the Weibull Probability Distribution

    Grussing, M. N. / Uzarski, D. R. / Marrano, L. R. | ASCE | 2006


    Condition and Reliability Prediction Models Using the Weibull Probability Distribution

    Grussing, M. N. / Uzarski, D. R. / Marrano, L. R. et al. | British Library Conference Proceedings | 2005