Testing has typically been a key means of detecting anomalous performance and of providing a foundation for estimating reliability for weapon systems. The objective of model-based reliability analysis (MBRA) is to identify ways to capitalize on the insights gained from physical-response modeling both to supplement the information obtained from testing and to better-understand test results. Five general MBRA processes are identified which can capitalize on physical response modeling results to make both quantitative and qualitative statements about product reliability. A case study that explores 1 of these 5 processes was completed and is described in detail. It had the benefits: MBRA can be used to determine a performance baseline against which current and future test results can be compared; during the design process, MBRA can provide tradeoff studies such that development time and required test assets can be reduced; MBRA can be used to evaluate the impact of production and part changes, as well as aging degradation, if they arise during the product life cycle; and MBRA lays the foundation to evaluate anomalies that are observed in a test program. Typically it has been challenging to determine how anomalous behavior can manifest itself under different-but still valid-conditions. One can use modeling to inject hypothesized behaviors under different conditions and observe the consequences.


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    Title :

    Model-based reliability analysis


    Contributors:

    Published in:

    Publication date :

    2002


    Size :

    8 Seiten, 14 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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