摘要
用模拟退火算法建立了旋转机械故障诊断的人工神经网络模型 ,以幅值谱中七个频段上的幅值为网络的输入模式 ,对旋转机械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 。
In this paper,we established the artificial neural network of the fault diagnosis of rotary mechanism using simulated annealing algorithm.We trained the neural network with seven kinds of fault sample of rotary mechanism and apply the neural network model to identify the samples to be identified.The result indicates that the simulated annealing algorithm is efficient in the fault diagnosis of rotary mechanism.
出处
《重型机械》
2001年第2期54-56,共3页
Heavy Machinery
关键词
旋转机械
故障诊断
模拟退火算法
rotary mechanism, fault diagnisis, simulated annealing algorithm.
