摘要
对石化机械设备故障预测方法进行分析总结,重点包括基于经验知识的预测方法、基于数学模型的预测方法和基于数据驱动的预测方法,并对设备状态预测方法的发展趋势进行了讨论。
The failure prediction methods for petrochemical machinery were analyzed and summarized,including the prediction methods based on experiential knowledge,mathematical model and data driven,as well as the discussion of the development trend of predicting the equipment status.
作者
邱泽阳
王雪
单克
QIU Ze-yang;WANG Xue;SHAN Ke(Beijing Safety and Environmental Protection Engineering Technology Institute,CNOOC Energy Development Co.,Ltd.;China Building Material Test and Certification Co.,Ltd.;Shenzhen Gas Group Co.,Ltd.)
出处
《化工机械》
CAS
2021年第6期793-797,共5页
Chemical Engineering & Machinery
关键词
石化机械设备
设备状态预测
经验知识
数学模型
数据驱动
petrochemical machinery
equipment status prediction
experiential knowledge
mathematical model
data driven
