摘要
独立分量分析方法(ICA),不需要有关系统模型和系统变量的先验知识,是近几年才发展起来的1种新的统计方法,解决了系统模型或系统变量不确定的问题。应用此方法从重整加热炉运行时产生的大量不是相互独立的测量变量中,分离出少数必要的潜隐变量,用I^2和Q统计控制图对这些变量进行实时监控,结果证明对保证重整加热炉的长期、平稳、安全的运转起了重要作用。
The independent component analysis is a recently developed method which needn＇t priori knowledge about system model and system variables, and it solves the uncertainty of system model and system variables. This method can separate fewer necessary latent variables from a large number of measured variables at the process of CCR heating furnace. It is turned out that using I^2 and Q statistical figure to real time monitor of these variables can play an important role to guarantee tube heating furnace steadily, safe and long operation.
出处
《计算机与应用化学》
CAS
CSCD
北大核心
2009年第7期897-900,共4页
Computers and Applied Chemistry
关键词
独立分量分析
故障监测
过程监控
重整加热炉
independent component analysis, fault detect, process monitor, Continuous Catalytic Reforming heating furnace
