Dependability modeling and analysis in a Ship-borne Microwave Unified Instrumentation System

Ma Min, Jianguo Huang, Lu Dan
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Abstract

With the development of aerospace industry, the number of tasks on sea base steadily increases. It leads that parameters of measurement and control equipment are tested more frequently, their test process is more complicated, and their test time wastes more. At the same time, the demands to improve the dependability of instrument and equipment become urgent. In paper, a typical Ship-borne Microwave Unified Measurement and Control System's dependability will be analyzed and evaluated. However, many common dependability methods can not analyze system's behavior pattern and dynamic change of faults' distribution, which can not meet people's needs. So the Generalized Stochastic Petri Net (GSPN) is applied to build a mathematical model for system. Then the model is isomorphic to markov chain according to stochastic Petri net's properties. Through solving markov equation, many parameters of system dependability are exactly evaluated, such as reliability, maintainability, availability and so on.
舰载微波统一仪表系统可靠性建模与分析
随着航空航天事业的发展,海上基地的任务不断增多。这导致测控设备的参数测试更加频繁,测试过程更加复杂,测试时间更加浪费。同时,提高仪器设备可靠性的要求也日益迫切。本文对典型舰载微波统一测控系统的可靠性进行了分析和评价。然而,许多常用的可靠性方法不能分析系统的行为模式和故障分布的动态变化,不能满足人们的需求。为此,应用广义随机Petri网(GSPN)建立了系统的数学模型。然后根据随机Petri网的性质,将模型与马尔可夫链同构。通过求解马尔可夫方程,对系统可靠性的许多参数,如可靠性、可维护性、可用性等进行了准确的评估。
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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