因果图模型 meaning in Chinese
carsal graph model
Examples
- Causality diagram theory is an uncertainty reasoning methodology based on probability theory , it can progress dynamic reasoning online and fault diagnosis to complex system , but the probability is precision value in causality diagram
摘要因果图理论是一种基于概率论的不确定推理模型，能够进行在线动态推理和对复杂系统进行故障诊断，但在因果图模型中，要求事件的发生概率为精确值。 - The thesis focuses on the basic principles of fault diagnosis , qualitative modeling of lre , qualitative reasoning techniques and diagnosis mechanism for lre . in the thesis , the theoretical foundation of diagnosis based on component is expounded . on the basis of above works , a relation - based diagnosis method is proposed by considering the practical diagnosis problems for lre , and a diagnosis example is demonstrated
本文首先对基于定性模型诊断方法的分类、特点和研究现状进行了评述，接着分别研究了基于部件模型的诊断方法、基于定性键合图模型的诊断方法、基于时间因果图模型的诊断方法在液体火箭发动机上的应用，其内容涉及故障诊断基本理论与原理、发动机定性建模技术、定性推理技术以及针对液体火箭发动机的故障诊断机制和策略。 - To overcome the disadvantages of diagnosis methods based on static models , a new diagnosis method for lre based on temporal causal graph ( tcg ) is developed . the tcg model of lre is set up , and based on this model the qualitative simulation and diagnosis analysis under abnormal conditions for lre are carried out . the results show that the theory and methods proposed and discussed provide a theoretical basis for the design and realiz ation of practical lre fault diagnosis from qualitative point of view
本文阐述了基于部件模型诊断方法的基本理论与原理，给出了求解该诊断问题的算法，在该理论的基础上，结合发动机实际诊断问题，提出了基于关系模型的诊断方法，并对空间推进系统进行了诊断实例分析；鉴于键合图在系统建模方面的优势，研究了大型泵压式液体火箭发动机基于定性键合图的诊断方法，建立了发动机的键合图模型，给出了诊断机制，进行了实例分析；为克服目前基于静态模型方法的不足之处，本文提出了液体火箭发动机基于时间因果图模型的诊断方法，建立了发动机的时间因果图模型，对发动机在故障状态下的动态特性进行了定性仿真，并进行了诊断分析。 - So , the fuzzy knowledge can be expressed with membership functions . this algorithm can deal with fuzzy causality diagram , which has multiple value , and effectively express the fuzzy uncertain knowledge in practice . after the introduction of the reasoning procedures about dynamic causality network ,
本论文在介绍完动态因果图模型的推理过程后，对动态因果图在其发展过程中所遇到的一些困难做了归纳，并简要介绍了目前为此我们针对这些问题所取得的一些成就，以及以后的发展方向。