神经网络在采煤机故障诊断专家系统中的应用

Application of neural network in coal-mining machine fault diagnosis expert system

为克服符号处理专家系统的局限性,解决采煤机故障诊断复杂的难题,设计了一种基于神经网络的采煤机故障诊断专家系统。该系统将传统专家系统与神经网络科学地加以综合,较好地解决传统专家系统存在的问题,提高系统的诊断速度和准确率。

Targeted at the limitation of symbolic-processing-based expert of fault diagnosis of coal-mining machine, the paper introduces the design of a system and the complexity type of fault diagnosis system for coal-mining machine, namely the system constructed by an expert system and a neural network. The system offers a better solution to the conventional expert system and enables a greater improvement in the rapidity and veracity of fault diagnosis.