基于Petri网的机械系统可靠性评估

Jianing Wu, Shaoze Yan
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引用次数: 8

摘要

当前机械工程的发展趋势是设计具有更高稳定性、可靠性、可用性和可操作性的机械系统。为了满足机器对高可靠性的要求,设计人员寻找系统的薄弱环节,了解关键子系统的状态,在必要时采取补救措施是非常重要的。因此,在机械系统可靠性评估中,行为建模和失效分析是值得重视的两个方面。本章将介绍利用模糊推理Petri网(FRPN)模型在可靠性预测、可靠性分配和可靠性分析中评估机械系统可靠性的新方法。利用该方法对某航天器太阳能电池阵系统进行了实例分析。结果表明,Petri网模型在机械系统可靠性评估中具有较高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliability Evaluation for Mechanical Systems by Petri Nets
The current trend in mechanical engineering is to design mechanical systems with higher stability, reliability, availability and operability. In order to meet the requirement of high reliability for a machine, it is of great importance for designers to seek the weak links in the system and learn the state of the key subsystems, carrying out the remedial measures when necessary. Hence, behavior modeling and failure analysis are the two aspects seriously concerned in the reliability evaluation in mechanical systems. This chapter will introduce new methodologies that use the fuzzy reasoning Petri net (FRPN) models to evaluate the reliability of mechanical systems in reliability prediction, reliability apportionment and reliability analysis. Cases are proposed by analyzing a space- craft solar array system using the proposed method. Results indicate that the Petri nets models can contribute to a higher accuracy in reliability evaluation for mechanical systems.
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