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.
出处
《煤矿机械》
北大核心
2011年第4期242-244,共3页
Coal Mine Machinery
关键词
采煤机
故障诊断
模糊神经网络
专家系统
coal-mining machine
fault diagnosis
fuzzy neural network
expert system
