模糊自适应无人驾驶矿井机车故障Petri网模型  

Fault petri nets model for driverless mine locomotives based on fuzzy adaptive

作　　者：汪彩萍[1] 陈炫瑞 卫星[1,3] 赵夏云 魏臻[1,3] Wang Caiping;Chen Xuanrui;Wei Xing;Zhao Xiayun;Wei Zhen(School of Computer and Information of Hefei University of Technology,Hefei 230009,China;School of Mechanical Engineering of Hefei University of Technology,Hefei 230009,China;Engineering Research Center of Safety Critical Industrial Measurement and Control Technology,Hefei 230009,China)

机构地区：[1]合肥工业大学计算机与信息学院,合肥230009 [2]合肥工业大学机械工程学院,合肥230009 [3]安全关键工业测控技术教育部工程研究中心,合肥230009

出　　处：《电子测量与仪器学报》2018年第12期108-117,共10页Journal of Electronic Measurement and Instrumentation

基　　金：国家重点研发计划(2018YFC0604404)资助项目

摘　　要：针对无人驾驶矿井机车系统故障模型复杂、后验手段缺乏,提出一种基于改进粒子群算法的模糊故障Petri网模型。首先对Petri网进行分层处理,分析各部分之间的逻辑关系,并提出模糊Petri网模型的置信度推理过程;然后确定适应度函数,运用改进粒子群算法对权值参数进行学习和训练,并分析参数优化方法对系统模型的影响;最后对矿井机车无人驾驶系统中的电源系统和通信系统进行分析建模,结合自适应模糊故障Petri网对电源系统Petri网模型与通信系统Petri网模型进行故障推理分析,得到常见故障推理路径及置信度值。该方法适应于不同复杂系统的故障分析推理,动态地分析出故障传播的途径以及计算出故障发生的可能性。Aiming at the complexity of the fault model and the lack of posterior measures for driverless mine locomotive system,a fuzzy fault Petri net model based on improved particle swarm optimization is proposed. This paper first stratified the Petri network, analyzedthe logical relationship between each partand proposed the confidence reasoning process of the fuzzy Petri net model to determine the fitness function, then used the improved particle swarm algorithm to learn and train the parametersand analyzed the impact of the parameter optimization method on the system model. Finally, analyzed and modeled thepower system and communication system in mine locomotive driverless system, combined with adaptive fuzzy fault Petri nets to fault inference analysis of power system petri net model andcommunication systempetri net model,and got common fault reasoning path and confidence value. This method adapts to fault analysis reasoning of different complex systems,dynamically analyzes the way of fault propagation and calculates the possibility of fault occurrence.

关 键 词：模糊故障Petri网 粒子群算法 自适应 矿井机车 

分 类 号：TD607[矿业工程—矿山机电]