摘要
针对飞机电源故障诊断专家系统中存在的知识表示复杂、不确定性等问题,采用一种基于模糊故障Petri网模型来进行知识表示,同时提出一种正向推理和反向推理相结合的推理算法,该推理算法先用正向推理从故障原因出发,正向查找故障原因导致的故障现象,然后再针对故障现象进行反向推理查找产生此故障的原因,验证故障诊断的真实度。以飞机电源系统中典型故障现象为例,建立故障诊断模型,采用正反结合推理算法加以应用验证,验证结果表明该算法对飞机电源系统故障诊断准确,可操作性强。
According to the complexity and uncertainty of expert system of aircraft electrical power fault diagnosis,the fuzzy fault petri net is proposed to knowledge representation,the combine algorithm of the forward reasoning and backward reasoning is given in this paper. Firstly,the combine algorithm with forward reasoning from the cause of this fault to find the phenomenon of the fault,and then backward reasoning from the phenomenon of the fault to find the cause of this fault,the truth is verified in fault diagnosis. The fault diagnosis model is established and the combine algorithm is verified by the example of the fault phenomenon of aircraft electrical power system.The results show that the method is accurate and feasible.
出处
《装备制造技术》
2016年第11期18-22,共5页
Equipment Manufacturing Technology
