摘要
提取旋转机械D350风机转子在一段时间里的水平方向、垂直方向和轴向的振动值,以此为样本值,应用BP神经网络迭代算法进行训练,然后对D350风机的振动报警值进行预测,预测结果表明与实际报警值非常接近。
Taking horizontal-,vertical-and axial-direction vibrating values of D350 blowerrotor in certain periold of time as the sample values,such values have been analyzed and trained by iterative computing method of BP neural network.Then predicting the alarm time of D350 blower rotor vibration,the result shows that it is very close to the reality.
出处
《有色金属设计》
2004年第2期44-45,53,共3页
Nonferrous Metals Design
关键词
迭预测
风机
振动
神经网络
迭代
Predicting
blower
vibration
neural network
iteration
