【摘要】 故障知识获取瓶颈问题严重限制了我国军用电子设备智能诊断系统的发展。该文首先分析了军用电子设备的特点,然后总结了通过故障仿真获取故障知识的一般过程,在此基础上提出了计算机自动穷举设备所有可能故障,并进行仿真获取故障知识的新方法。提出4个关键策略解决仿真工作量及自动建立故障集的问题。提出了电路故障知识获取平台的建立方案作为该方法的具体实现。该文所提出的知识获取自动化在一定程度上解决了故障数据收集困难的根本问题,同时使获得的知识更完整。最后,实验结果证实其可行性。更多还原

【Abstract】 The difficulties of acquiring fault knowledge severely handicap the development of intelligent diagnosis system(IDS) of military electric equipment(MEE) in our country.In this paper,the characteristics of MEE are analyzed at first,as well as the general procedure of knowledge acquisition(KA) by fault simulation.And then,a new method is presented,which auto-acquires fault knowledge by simulating all possible faults of equipment.Here four key strategies are necessary to reduce simulation complexity to a tolerable level and to establish the fault set automatically.The scheme of circuit fault knowledge acquisition flat is proposed to implement this method.Automation of KA,to a certain extent, solves the basic problem of hard task of gathering the fault original data,and makes the knowledge acquired more sufficiently.Finally,results of experiment prove its feasibility.更多还原