火控系统故障诊断专家系统的研究

发布时间：2018-01-30 17:10

本文关键词： 火控系统装置故障诊断专家系统粗糙集故障树改进的HAL算法　出处：《沈阳工业大学》2017年硕士论文　论文类型：学位论文

【摘要】：坦克火控系统功能强大、整体技术水平先进,能够明显提高坦克的火力打击能力,坦克火控系统整体技术先进、各设备结构复杂、工作原理非常复杂、维修设备难度高,目前检测设备不能满足对其维修要求。因此,研发新的火控系统装置检测设备,维修火控系统成为需要迫切解决的问题。所以,本文提出了坦克火控系统装置故障诊断专家系统的设计与实现,主要的研究内容如下:首先,对火控系统装置故障诊断专家系统进行了知识获取工作。采用分辨矩阵算法明确了故障部位,利用故障树分析法实现故障知识获取,解决了火控系统装置故障诊断专家系统知识获取难题。根据粗糙集分辨矩阵挖掘到的故障树顶事件选择具体的一个故障树进行诊断,再求解出这个故障树的最小割集,定位故障原因。其次,建立了火控系统装置故障诊断专家系统知识库。火控系统故障诊断专家系统的知识表示选取产生式规则表示;火控系统故障诊断专家系统知识库的建立和存储通过Sqlserver2012数据库来实现,通过C#编程设计了知识库的管理模块。再次,实现了火控系统装置故障诊断专家系统推理机制的设计。提出了改进的HAL模式匹配算法,实现了火控系统装置故障诊断专家系统推理机功能,此算法的应用使推理机性能大大提高。最后,完成了火控系统装置故障诊断专家系统的软件设计。对火控系统装置故障诊断专家系统功能模块进行设计和整体工作流程进行设计,并采用C#和Sqlserver2012数据库作为火控系统装置故障诊断专家系统的软件平台,完成了各功能模块的功能设计。
[Abstract]:Tank fire control system has powerful functions, advanced overall technology, can obviously improve the tank's firepower attack ability. The tank fire control system is advanced in overall technology, the structure of each equipment is complex, and the working principle is very complex. It is very difficult to maintain the equipment, and the current testing equipment can not meet the requirements of its maintenance. Therefore, the development of new fire control system equipment detection equipment, maintenance of the fire control system has become an urgent problem to be solved. This paper presents the design and implementation of the tank fire control system fault diagnosis expert system. The main research contents are as follows: first of all. The knowledge acquisition of fault diagnosis expert system of fire control system is carried out. The fault location is determined by using the resolution matrix algorithm and the fault knowledge acquisition is realized by fault tree analysis method. The problem of knowledge acquisition in fault diagnosis expert system of fire control system is solved, and a specific fault tree is selected for diagnosis according to the top event of fault tree mined by rough set resolution matrix. Then the minimum cut set of the fault tree is solved to locate the fault cause. Secondly. The knowledge base of fault diagnosis expert system of fire control system is established, and the knowledge representation of fault diagnosis expert system of fire control system is presented. The establishment and storage of the knowledge base of the fire control system fault diagnosis expert system is realized by Sqlserver2012 database, and the management module of the knowledge base is designed by C # programming. The reasoning mechanism of expert system for fault diagnosis of fire control system is designed. An improved HAL pattern matching algorithm is proposed and the function of inference engine of expert system for fault diagnosis of fire control system is realized. The application of this algorithm greatly improves the performance of the inference engine. Finally. Completed the fire control system equipment fault diagnosis expert system software design. The fire control system equipment fault diagnosis expert system function module design and the overall workflow design. Using C # and Sqlserver2012 database as the software platform of the fire control system equipment fault diagnosis expert system, the functional design of each function module is completed.
【学位授予单位】：沈阳工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：E923.1;TP182

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