摘要
针对复杂设备故障诊断与装备本身结构无法直观对应进行故障原因的自动推理和快速定位问题,研究了基于设备结构分解的可视化故障推理与诊断技术;通过定义热区和热区索引,将故障推理与诊断同设备结构分解相对应,在诊断的过程中构建了故障自动推理编码规则,可将故障树转换成一系列可操作的且具有一定逻辑关系的编码,并通过软件编程将编码以故障现象的表现形式呈现给排故人员,实现故障的自动推理与实际装备部件图相互结合;该方法能够按照推理步骤逐层对装备进行LRU级分解展开,真正实现可视化故障自动推理和诊断;通过某型电子装备进行故障推理实例验证,表明该方法层次结构清晰,推理简单有效,能够实现装备可视化的LRU级分层故障诊断和故障的快速定位。
Aiming at complex equipment fault diagnosis and equipment structure cannot directly corresponding to the cause of the problem of automatic reasoning and rapid positioning problem, studies a visual fault reasoning and diagnosis technology based on equipment structure decomposition. By defining the hot zone and hot zone index, corresponds the fault reasoning and diagnosis to equipment structure decomposi tion, constructs the fault automatic reasoning coding rules in the process of diagnosis, which can convert the fault tree to a series of opera tional and certain logical code, and through software programming code appears in the form of fault phenomenon for troubleshooting, which realizes automatic fault reasoning chart combined with the actual equipment parts. This method can according to the reasoning step by step to LRU level decomposition equipment, and to realize visual automatic reasoning and diagnosis. An example for the electronic equipment fault reasoning is presented to illustrate the feasibility and effectiveness of the proposed approach, can achieve equipments＇ visual LRU hierarchical fault diagnosis and rapidly position the faults.
出处
《计算机测量与控制》
2017年第2期12-14,共3页
Computer Measurement &Control
基金
海军大连舰艇学院2110工程三期资助学术预研课题
关键词
故障诊断
可视化
LRU级分解
自动推理机
故障编码
fault diagnosis
visualization
LRU decomposition
automatic inference engine
fault coding
