Thirdly , the object - oriented way of lre knowledge representation for causality , system structure , and models is presented , and an organization model of lre diagnosis knowledge for integration of deep and shallow knowledge based on the lre component structure and in the form of node knowledge base is given . and finally , the lre intelligent fault diagnosis theory and strategy , which utilize synthetically different kinds of diagnosis knowledge and multiple reasoning methods , such as rule - based , model - based , fuzzy - knowledge - based , and dynamic - knowledge - based reasoning methods , are discussed and developed . the results verified by the test - firing data and the simulated fault samples show that , the theory and methods proposed give a theoretical basis for the design and realization of practical lre fault diagnosis and health monitoring systems , and can be available for reference in the development of health monitori ng technique for reusable space transportation systems in the future 主要研究内容包括：系统阐述了发动机诊断知识的概念、类别和相互关系；研究发展了定性和定量、浅层和深层、模糊和动态等多种诊断知识的图形和模型获取方式；建立了因果、结构和模型等不同层次和类别的诊断知识的面向对象表示方法，以及以发动机的部件结构为基础，以结点知识库为组织形式，深浅知识相结合的诊断知识集成组织模型；研究发展了综合多层次和多类别诊断知识，集成规则推理、模型推理、模糊推理和动态知识推理的发动机智能故障诊断理论和策略，并结合实际热试车数据和故障仿真实例对所发展的理论、方法与策略进行了验证。
The second , open out the definition , the character , the element and the structure of the cis , and bring forward the model of csp ( the core - level determinants , the supplementary - level determinants , and the periphery - level determinants ) , then , based on which , aiming at the model of csp , we explain that the basic pattern of the mode of cluster learning which is the dynamic mechanism of cis , and consider that the degree of the interact between the actors of clusters and the knowledge base are the two crucial dimensions in the research of cluster learning , go step farther that we put forward the four corresponding kinds of spatial forms clusters and the three - phrase evolution path , and so the integrated framework of cluster learning is built 在此基础上，针对csp模型，从动态知识学习和静态知识积累两个角度解释了集群学习模式(集群创新系统动态机制)的基本范式、机制模式，明确了集群成员之间知识互动的紧密度和集群静态知识基础的水平是考察集群学习的两个维度，并由此进一步提出了对应的四种集群空间形态和三阶段演进路径，从而构建了集群学习的模式框架。
