In the paper the basic notions of the ageing multistate systems reliability analysis are introduced. The multistate system reliability functions are defined and the mean values of the multistate system lifetimes in the reliability state subsets and in the particular reliability states are determined. The notion of the multistate system risk function and the moment of the system exceeding the critical reliability state are introduced. Further, in the developed reliability models, it is assumed that the system’s components have the multistate Weibull reliability functions with various parameters in their different reliability state subsets. Under this assumption, the proposed multistate system reliability models are applied in maritime transport to the reliability analysis of a bulk cargo transportation system and its reliability function, moreover other main characteristics are determined.
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The paper presents a method for determining the optimal interval for preventive maintenance/replacement using either an age related or a diagnostic related renewal strategy. Additionally, the authors rise the question: "How does preventive maintenance influence the probability of failure and the mean life-time of preventively maintained elements of a technical system?" They answer the question using analytical and simulation computing approaches to arrive at the solution. The results are in quantitative form. giving relationships between preventive maintenance intervals and survival probability functions and mean life-time characteristics. Examples demonstrate suitability of the method for typical engineering components with Weibull life distributions. Applications offer substantial benefits to both the manufacturer and the user of technical equipment.
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