专家系统的基本原理和基于CLIPS的专家系统设计与实现

讲述了专家系统的基本概念和工作原理，并结合现在较为流行的专家系统开发工具CLIPS(C Language Integrated Production System)，介绍了一种基于规则的专家系统的设计和实现方法。     

类比推理协处理器设计中的加速策略

分析了实现高效的嵌入式类比推理协处理器系统ARC(Analogical Reasoning Coprocessor)所面临的困难,在软件模拟、测试、验证的基础上给出了提高ARC效率的解决方案.由于ARC采用了符合类比推理机制的处理器体系结构和加速策略,推理速度有了大幅度的提高.     

应用证据推理理论实现卫星故障诊断信息的融合方法

针对卫星故障诊断中应用同一征兆域信息难以区分的故障，提出了一种基于证据推理理论的故障诊断新方法．该方法应用证据推理理论实现卫星故障不同征兆域信息的融合，从而获得更加准确的故障定位．文中分析了卫星故障诊断中应用证据推理理论进行信息融合的必要性，研究了应用证据推理理论实现卫星故障不同征兆域信息融合的理论方法，给出了该方法的实际应用，讨论了应用该方法需注意的问题，最后给出了结论．     

基于案例推理的TCAS板卡深度故障诊断研究

TCAS是保证飞机安全飞行的重要保障。本文分析了TCAS板卡的故障模型和电路结构,在故障诊断系统中引入案例推理方法,对增强TCAS板卡深度故障诊断的效率有很大帮助。     

基于模糊SDG模型的航天器故障诊断方法研究

基于符号有向图(SDG)的故障诊断具有良好的完备性、易于解释性,但是其不足为 分辨 率差,因此,提出了基于模糊SDG模型和模糊推理相结合的半定量故障诊断方法。将节点 变 量变为模糊变量使节点承载了更多的定量信息,节点间的定性关系通过模糊关系矩阵来表达 ,通过模糊推理判断相容支路找出故障源候选集合,通过部件故障概率和传播故障权重对候 选故障源进行故障可能性的排序。最后应用该方法建立了某卫星一次电源系统的诊断模型, 并进行了故障诊断仿真,结果表明该方法有效地提高了诊断的分辨率,适用于航天器在轨 故障诊断。     

固体火箭发动机质量评判系统研究开发中的非精确推理

介绍了固体火箭发动机质量评判的特点，以带有两种典型伤情缺陷的固体火箭发动机为例，对主观Bayes非精确推理方法在固体火箭发动机质量评判中的应用进行了分析研究，给出了非精确推理框图，并简要介绍了研究推理规划中的充分性度量LS、必要性度量LN和前提的可信度C（E，S），以及计算多种伤情缺陷作用下发动机禁用的后验概率的方法。     

基于模糊逻辑推理的船舶并联气电混合动力系统能量最优分配研究

针对内河船舶工况启停变化频繁导致瞬态动力性较差、动态响应较慢等问题，提出并联气电混合动力系统改进方案，利用模糊逻辑推理方法来提升动力响应性能。以某内河拖船为研究对象进行混合动力系统参数匹配设计，通过对系统关键参数设计切换规则，建立基于逻辑门限的能量管理控制策略；为进一步优化逻辑门限方法主观设定边界阈值不可调节问题，提出基于“模糊逻辑推理+动态协调”能量最优分配策略。通过最优设计相关试验验证管理策略，结果表明：采用基于模糊逻辑推理的能量管理策略能使天然气发动机的平均负荷提升37.86%，平均效率提高2.74%，动态响应时间缩短44.45%。     

On the evidential reasoning rule for dependent evidence combination

Evidential Reasoning (ER) rule, which can combine multiple pieces of independent evidence conjunctively, is widely applied in multiple attribute decision analysis. However, the assumption of independence among evidence is often not satisfied, resulting in ER rule inapplicable. In this paper, an Evidential Reasoning rule for Dependent Evidence combination (ERr-DE) is developed. Firstly, the aggregation sequence of multiple pieces of evidence is determined according to evidence reliability. On this basis, a calculation method of evidence Relative Total Dependence Coefficient (RTDC) is proposed using the distance correlation method. Secondly, as a discounting factor, RTDC is introduced into the ER rule framework, and the ERr-DE model is formulated. The aggregation process of two pieces of dependent evidence by ERr-DE is investigated, which is then generalized to aggregate multiple pieces of non-independent evidence. Thirdly, sensitivity analysis is carried out to investigate the relationship between the model output and the RTDC. The properties of sensitivity coefficient are explored and mathematically proofed. The conjunctive probabilistic reasoning process of ERr-DE and the properties of sensitivity coefficient are verified by two numerical examples respectively. Finally, the practical application of the ERr-DE is validated by a case study on the performance assessment of satellite turntable system.     

A novel combination belief rule base model for mechanical equipment fault diagnosis

Due to the excellent performance in complex systems modeling under small samples and uncertainty, Belief Rule Base(BRB) expert system has been widely applied in fault diagnosis. However, the fault diagnosis process for complex mechanical equipment normally needs multiple attributes, which can lead to the rule number explosion problem in BRB, and limit the efficiency and accuracy. To solve this problem, a novel Combination Belief Rule Base(C-BRB) model based on Directed Acyclic Graph(DAG) structu...