摘要
为了能够对磨煤机早期故障做出预测并有效判别故障类型,提出了基于径向基函数神经网络的磨煤机故障诊断方法。介绍了该方法可以有效地处理故障征兆与故障类型之间的不确定性,具有很好的分辨力。应用该方法对某电厂HP碗式中速磨煤机的故障特征数据集进行了仿真实验,表明该方法故障诊断正确率高,诊断结果是有效的。
The fault diagnosis method of the medium-speed mill based on RBF-neural network has been put forward in order to predict and identify and early fault in the mill.The method may effectively treat any fault symptoms and has very strong identifying capability.A simulation is conducted on fault characteristic data of a HP medium-speed mill,which shows that this method has high precision and effectiveness in fault diagnosis.
出处
《发电设备》
2011年第5期323-326,共4页
Power Equipment
