Abstract
Abstract Engineering systems are designed to meet the established reliability goals. A designer can better meet this objective if he is able to combine past operational experience about the system or its components with experimental data. At the initial stage of designing, it is often necessary to know about the reliability characteristics of the complete system. However, the operational experience about the complete system at this stage is either non-existent or expensive to realise. In such situations an alternative way of analysing the reliability characteristics of the complete system may be to use operational experience about the components or subunits of the system. In view of this, the present study deals with the Bayesian reliability analysis of a parallel system. Time-truncated failure information and prior belief about the failure rate of the components of the system have been used in the analysis.
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