采煤机模糊神经网络故障诊断专家系统仿真  

Coal-mining Machine Fault Diagnosis Expert System Simulation Based on Fuzzy Neural Network

作　　者：刘绪金[1] 李建平[1] 杜长龙[1] 胡正伟[1] 

机构地区：[1]中国矿业大学机电工程学院,江苏徐州221116

出　　处：《煤矿机械》2011年第4期242-244,共3页Coal Mine Machinery

摘　　要：为克服传统专家系统的局限性,提高采煤机故障诊断的智能化水平,设计了一种基于模糊神经网络的采煤机故障诊断专家系统,并在MATLAB中进行了仿真,该系统较好地解决了传统专家系统存在的问题,提高系统的诊断容错能力和准确率。Targeted at the limitation of traditional expert system and improving the intelligentizing level of coal-mining machine fauh diagnosis,the design of a type of fault diagnosis system for coal-mining machine based on fuzzy neural network is introduced, the simulation of the system was carried out in MATLAB.The system offers a better solution to the conventional expert system and enables a greater improvement in the fault-tolerant ability and veracity of fault diagnosis.

关 键 词：采煤机 故障诊断 模糊神经网络 专家系统 

分 类 号：TD421[矿业工程—矿山机电] TP183[自动化与计算机技术—控制理论与控制工程]