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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part O. Journal of Risk and Reliability >A binary decision diagram method for phased mission analysis of non-repairable systems
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A binary decision diagram method for phased mission analysis of non-repairable systems

机译：不可修复系统阶段任务分析的二​​进制决策图方法

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摘要

Phased mission analysis is carried out to predict the reliability of systems which undergo a series of phases, each with differing requirements for success, with the mission objective being achieved only on the successful completion of all phases. Many systems from a range of industries experience such missions. The methods used for phased mission analysis are dependent upon the repairability of the system during the phases. If the system is non-repairable, fault-tree-based methods offer an efficient solution. For repairable systems, Markov approaches can be used. This paper is concerned with the analysis of non-repairable systems. When the phased mission failure causes are represented using fault trees, it is shown that the binary decision diagram (BDD) method of analysis offers advantages in the solution process. A new way in which BDD models can be efficiently developed for phased mission analysis is proposed. The paper presents a methodology by which the phased mission models can be developed and analysed to produce the phase failure modes and the phase failure likelihoods.
机译：进行阶段性任务分析以预测经历一系列阶段的系统的可靠性，每个阶段对成功都有不同的要求，只有在成功完成所有阶段时才能实现任务目标。来自各行各业的许多系统都经历过这样的任务。用于阶段任务分析的方法取决于阶段中系统的可修复性。如果系统不可修复，则基于故障树的方法将提供有效的解决方案。对于可修复系统，可以使用马尔可夫方法。本文涉及不可修复系统的分析。当使用故障树表示阶段性任务失败原因时，表明二进制决策图（BDD）分析方法在解决过程中具有优势。提出了一种新的方法，可以有效地开发BDD模型用于分阶段任务分析。本文提出了一种方法，通过该方法可以开发和分析相控任务模型，以产生相故障模式和相故障可能性。

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