基于Petri网的飞机交流发电机故障诊断系统研究  

Research on fault diagnosis expert system of aircraft AC generator based on fault Petri net

作　　者：王修岩[1] 薛斌斌[1] 李宗帅[1] 

机构地区：[1]中国民航大学航空自动化学院,天津300300

出　　处：《中国民航大学学报》2012年第1期23-25,共3页Journal of Civil Aviation University of China

基　　金：中央高校基本科研业务费中国民航大学专项资助(ZXH2010C002)

摘　　要：针对目前飞机交流发电机故障诊断专家系统存在的知识表示复杂、诊断速度慢等问题,基于故障Petri网方法来进行知识表达,以快速准确对故障进行诊断。首先利用故障Petri网来建立飞机交流发电机的故障诊断模型,然后采用关联矩阵和状态方程的推理算法进行故障诊断推理,提高了推理速度,易于编程实现。最后通过实例分析验证了该方法的可行性和有效性。According to the complexity and low speed features of expert system of aircraft AC generator fault diagnosis, fault Petri net is proposed to knowledge representation in this paper. Firstly, build the fault Petri net model of aircraft AC generator, then incidence matrix calculation and state equation are adopted to carry out fault diagnosis reasoning. It can increase the reasoning speed and is convenient tor programming. Finally, the feasibility and validity of the method is verified by the analytical result of practical sample.

关 键 词：飞机交流发电机 故障PETRI网 故障诊断 专家系统 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]