Approximate confidence limit procedures for complex systems.
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Lower confidence limit estimation procedures for the reliability of several systems are developed and their accuracies evaluated using computer simulation. The procedures use test data on components of the system which can have failure times with either exponential or Weibull distributions or both. Testing scenarios for the components can be truncated by number of failures or by planned test times. Although the evaluation effort was focussed on series systems in this thesis, the procedures readily apply to other systems as described in the thesis. The evaluations demonstrate the procedures to be quite accurate when sufficient component testing is performed. Two FORTRAN computer programs were written to perform the evaluation. They are annotated in Users' Guides and can be used to determine the accuracy of these approximate lower confidence limit procedures for a given specific system and associated set of input parameters.
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