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机构地区:[1]装甲兵工程学院控制工程系,北京100072 [2]武汉大学电子信息学院,湖北武汉430072
出 处:《计算机测量与控制》2012年第6期1513-1514,1517,共3页Computer Measurement &Control
摘 要:针对车电系统总线故障现象和故障原因之间存在复杂模糊关系而无法实现快速故障诊断这一难题,提出采用模糊Petri网(fuzzy petri net,FPN)建立车电系统总线的故障诊断分析模型,并给出了相应的形式化推理算法;以某型车电系统总线为例,分析比较了各种故障原因的可信度;分析表明:所建模型有效地描述了车电系统总线故障现象和故障原因之间的模糊关系,能够实现故障的快速诊断,该模型可以作为车电系统总线快速故障诊断的理论支持工具。Aiming at the problem that it is difficult to realize fault diagnosis of bus in integrated vetronics system (IVS) quickly with reason that the relationship between fault symptom and fault cause is complicated, a new fault diagnosis model for bus in IVS based on fuzzy petri net (FPN) is proposed and the corresponding reasoning algorithm is given. A certain type of bus in IVS is selected as an example, and the confidence of fault cause are compared and analyzed. The analysis shows that the proposed model can describe the fuzzy relationship between fault symptom and fault cause effectively and realize fault diagnosis of bus in IVS quickly. The proposed model can be used as an theoretical tool for fault diagnosis of bus in IVS.
关 键 词:模糊PETRI网 车电系统 总线 故障诊断 模糊产生式规则
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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