By investigating 4 groups of test data of a certain type of engine , 24 original attributions were reduced to 2 groups , each group had 2 attributions , critical parameter combinations for fault diagnosis for liquid rocket engine were obtained ; 213 records were reduced to 5 or 6 records 分析了某型号发动机的4组试车数据,将原来的24个属性约简为2组,每组有2个属性,得到了在该样本集中所有可能的、关键的、决定性的故障诊断因素的组合。针对每组,将原来的213个记录分别约简为5和6个。
Firstly , the performance is calculated at the design point of the ws - 9 aeroengine by using the numerical model established . secondly , after obtaining the performance coupling parameters , the steady - state performance of the non - designed points is caculated . third , respectively make the limitation of rotate speed of the high pressure rotor and low pressure rotor equal to corresponding parameters of designed point , after the data calculated compared with those of designed point and actual testing of the manufactory , the error is obtained 首先,用所建立的发动机数学模型计算了发动机在设计点的各项性能,第二,根据发动机各部件的耦合特性参数计算得到发动机在非设计点状态下的各项稳态性能,第三,分别设定限制高压转子转速和低压转子转速逼近设计点条件下对应的参数,将计算得到的性能数据与设计点性能进行了比较,并将非设计点的计算结果与生产试车过程实测的性能数据进行对比,给出了该稳态模型计算结果与实际试车数据的误差。
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。
试车: test run; trial run数据: data; record; information船舶刹车数据: shistopping data救护车数据单张: ambulance data slip试车: [机械工程] test run; trial run 开机试车 put the machine to a trial run; 试车场 skid pad配车数: fitted out vehicles停车数: parking volume卸车数: number of car unloadings装车数: number of car loadings试车台试车: bench running; test cell run出车数目: vehicle turnout交出空车数: number of empty cars delivered交出重车数: number of loaded cars delivered接入空车数: number of empty cars received接运重车数: number of loaded cars received汽车数量: number of vehicles停车数(量): parking volume测试车: test carriage; test station truck干试车: dry run空试车: blank test冷试车: blowdown firing热试车: heat run; hot test; hotfiring试车场: bowl; skid pad试车道: proving road; provingroad试车的: shakedown