Application of Extended Universal Generating Function Technique to Dynamic Reliability Analysis of a Multi-state System

A. Lisnianski
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引用次数: 11

Abstract

The paper presents an overview of applications of a new special technique to reliability assessment for complex multi-state system. The system and its components can have different performance levels ranging from perfect functioning to complete failure. Straightforward Markov method applied to solve the problem will require building of the system model with great number of states and solving a corresponding system of differential equations. Lz-transform method, which is used for reliability assessment, drastically simplified the solution. Instead of straightforward finding of the resulting output stochastic process for entire Multi-state system (MSS) the method proposed finding Lz-transform of this output process, which is essentially simpler because of using Ushakov's Universal Generating Operator. Some reliability indices such as availability, expected performance, etc. may be found from the expression of this Lz-transform. In order to find other indices such as reliability function, mean time to failure etc. inverse LZ-transform is using that completely reveals underlying output process. This special technique is called as Extended Universal Generating Function Technique. The technique was already applied to multi-state system reliability analysis in some research works. The paper presents an overview of this accumulated experience.
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扩展通用生成函数技术在多状态系统动态可靠性分析中的应用
本文综述了一种新的特殊技术在复杂多状态系统可靠性评估中的应用。系统及其组件可以有不同的性能水平,从完美的功能到完全的故障。应用直截了当的马尔可夫方法求解该问题需要建立具有大量状态的系统模型并求解相应的微分方程组。采用lz变换方法进行可靠性评估,大大简化了求解过程。该方法不是直接求整个多态系统的输出随机过程,而是求该输出过程的lz变换,由于使用了Ushakov的通用生成算子,该方法本质上更简单。从lz变换的表达式中可以得到可用性、期望性能等可靠性指标。为了找到其他指标,如可靠性函数,平均故障时间等,使用反向lz变换,完全揭示了潜在的输出过程。这种特殊的技术被称为扩展通用生成函数技术。该方法已在一些研究工作中应用于多状态系统可靠性分析。本文对这些积累起来的经验作了概述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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