摘要
针对风机常见故障征兆与故障类型之间的非线性映射关系,结合专家知识建立了风机系统故障知识库,提出了基于径向基函数(RBF)人工神经网络的风机故障诊断方法。结果表明:该方法能克服诊断过程中容易陷入局部极小的缺点,并能满足故障诊断的快速性和准确性要求。
According to the nonlinear mapping relationship between fault symptom and type of fan,the repository of fan faults system is established combined with experts' knowledge.The fault diagnosis method of fan based on RBF neural network is presented.The result shows that the method can overcome the limitation of local infinitesimal,and can meet the requirements for speediness and accurateness during fault diagnosis process.
出处
《风机技术》
2007年第5期71-73,共3页
Chinese Journal of Turbomachinery
