摘要
用遗传算法建立了汽机故障诊断的人工神经网络模型，以小波包分解技术获得的１０个频段上的能量为网络的输入模式，对汽机常见的几种故障进行分类训练，并应用于待识别故障样本的识别计算，结果表明该方法在汽机故障诊断中是有效的。
The artificial neural network of the fault diagnosis of steam machinery with genetic algorithm is established. The neural network with some fault samples of ste am machinery is trained and the neural network model is applied to identify the samples for identify. The result indicates that the method is efficiency in the fault diagnosis of steam machinery.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2000年第9期110-112,共3页
Journal of Mechanical Engineering
