摘要
讨论了合成式模糊产生式规则及Petri网故障诊断原理与方法。基于模糊Petri网知识表示模型建立了提升机制动系统故障诊断模型,结合分步式的矩阵推理算法,克服了传统专家系统推理效率低的问题,同时利用故障传播矩阵记录故障的传播过程,体现了故障传播的动态行为,并通过实例验证了算法的正确性。提出了提升机状态监测与模糊Petri网一体化系统模型及其实现方法。充分利用了组态王设备监测与Petri网快速诊断的优势,通过组态王搭建提升机数据监测平台,监测数据经隶属度函数模糊化处理后形成初始标识,输入到模糊Petri网,实现实时监测与动态诊断。
The paper discussed the integrated fuzzy generation rules as well as the fault diagnosis principle and method based on Petri net, and built the fault diagnosis model of hoist braking system based on fuzzy Petri net representation method. It applied stepped matrix deduction algorithm to overcome the low deduction efficiency of traditional expert system, and used fault propagation matrix to record the fault propagation process, which reflected the dynamic process of the fault propagation. And then, the algorithm proved correct by an example. Moreover, the paper proposed the model of the system integrating hoist state monitoring and fuzzy Petri net as well as its realization method. It also fully applied King View monitoring and rapid diagnosis of Petri net, so as to build hoist monitoring platform based on King View. The monitored data formed initial marks after being fuzzy processed by membership functions, and then was input into the fuzzy Petri net to realize realtime monitoring and dynamic diagnosis.
出处
《矿山机械》
北大核心
2014年第11期45-50,共6页
Mining & Processing Equipment
基金
山西省科技重大专项项目(20111101040)
