摘要
文章分析总结了六类典型的机组振动变化趋势,采用人工神经网络预报方法对这六类趋势分别进行了预报试验,结果表明:人工神经网络预报方法对机组的各种振动变化趋势具有普遍的适用性。对主风机、气压机、烟气轮机等机组的实际预报应用结果也表明:该技术预报两个监测周期的机组振动,预报误差均在10%以内,达到了实用的要求。
Machine—set vibration trends may be divided into six types.This article simulates these types of trends,and the ANN (Artificial neural network) method is introduced to predict these trends.As a result,the ANN method is generally applicable to all types of these trends. For the result of practical prediction of applica- tion on main blower,air compressor and expand- er shows that the practical prediction error is less than 10% that meet the practical require- ments.
出处
《石油化工设备技术》
CAS
2008年第6期33-36,共4页
Petrochemical Equipment Technology