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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。
In order to overcome the limitations of the traditional expert system and improve the intelligent level of fault diagnosis of shearer, a fault diagnosis expert system based on fuzzy neural network is designed and simulated in MATLAB. The system is better Solve the problems of the traditional expert system and improve the system’s diagnostic fault tolerance and accuracy.