基于设备结构分解的可视化故障推理与诊断技术研究

Study of Visual Fault Reasoning and DiagnosisBase on Equipment Structure Decomposition

摘要:

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,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。

Abstract:

By defining the hot zone and hot zone index, corresponds the fault reasoning and diagnosis to equipment structure decomposition, constructs the fault automatic reasoning coding rules in the process of diagnosis, which can convert the fault tree to a series of operational and certain logical code, 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.