基于故障仿真的诊断知识获取关键技术研究

Key Technologies for Acquiring Diagnosis Knowledge Based on Fault Simulation

利用PSPICE软件进行电路器件的仿真,并以故障仿真方法获取诊断知识,可部分代替经验故障数据积累和人工实际故障模拟方法建立故障诊断知识库,解决电子设备尤其是故障知识贫乏的新型装备的维修诊断过程中的故障现象、数据获取和故障知识库建立过程困难和对专业知识的依赖性等问题。对复杂电子装备电路板级故障仿真的关键技术:测试对象的仿真建模,仿真故障注入技术,测试节点优选技术和测试集优化策略进行研究,将其应用于地炮情报射击指挥系统仿真实验平台,并给出实例分析。

Utilizing PSPICE software to carry out the simulation of PCB elements, and obtaining diagnosis knowledge through fault simulation, can replace the methods of accumulation for experience fault data and practical fault setup to build knowledge base of fault diagnosis partly. And it can resolve some problems for electronic equipment especially new ones that are short of fault experience, such as being trouble to get fault phenomenon and data to build fault knowledge data base, and extremely depending upon professional diagnosis knowledge. It is discussed about the key technologies for PCB simulation of complex equipments including simulation modeling of test object, fault injection of simulation, optimized selection of test node and optimization strategy of test set, and those are applied to the simulation experiment platform for the cannon information, shooting and command system. Some example analyses are presented after the discussion.