基于统计模式分析的多变量连续过程故障检测

针对一些批处理过程中,如同步批轨迹处理和多峰分布等问题,提出了一种基于统计模量（statistics pattern analysis,SPA）分析连续过程的故障诊断方法。FD-SPA和MPCA的显著差别是前者的监测对象是批次变量的统计特征,而后者监控过程变量。MPCA通过分析过程变量的方差—协方差进行故障检测,在SPA中,既要统计过程变量的均值与方差,又要统计过程变量间的协方差结构、偏度、峭度、自相关和互相关性。提出了一种基于滑动窗口的统计模量方法监测非线性的连续过程,使故障检测的准确性与可靠性得到提高。通过在TE过程中与传统的MPCA和KNN方法对比,验证了此方法的有效性。...

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Bibliographic Details
Published in计算机应用研究 Vol. 32; no. 7; pp. 2060 - 2064
Main Author 逄玉俊 李娜 李元 张成
Format Journal Article
LanguageChinese
Published 沈阳化工大学信息工程学院,沈阳,110142 2015
Subjects
多向主元分析
故障检测
统计模量
连续过程
statistical pattern
统计模量
continuous process
连续过程
多向主元分析
fault detection
故障检测
multiway principal component analysis
Online AccessGet full text
ISSN1001-3695
DOI10.3969/j.issn.1001-3695.2015.07.035

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Summary:针对一些批处理过程中,如同步批轨迹处理和多峰分布等问题,提出了一种基于统计模量（statistics pattern analysis,SPA）分析连续过程的故障诊断方法。FD-SPA和MPCA的显著差别是前者的监测对象是批次变量的统计特征,而后者监控过程变量。MPCA通过分析过程变量的方差—协方差进行故障检测,在SPA中,既要统计过程变量的均值与方差,又要统计过程变量间的协方差结构、偏度、峭度、自相关和互相关性。提出了一种基于滑动窗口的统计模量方法监测非线性的连续过程,使故障检测的准确性与可靠性得到提高。通过在TE过程中与传统的MPCA和KNN方法对比,验证了此方法的有效性。
Bibliography:51-1196/TP
continuous process; statistical pattern; multiway principal component analysis; fault detection
Pang Yujun, Li Na, Li Yuan, Zhang Cheng （ College of Information Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China）
This paper proposed a new method to monitor continuous processes based on the statistics pattern analysis （SPA） framework. It developed the SPA framework to address some challenges associated with batch process monitoring, such as unsynchronized batch trajectories and muhimodal distribution. The major difference between the multiway principal component analysis （MPCA） and SPA was that MPCA monitored process variables while SPA monitored the statistics of process variables. In other words, MPCA examined the variance-covariance of the process variables to perform fault detection while SPA examined the variance- covariance of the process variable statistics （e. g. , mean, variance, autoeorrelation, cross-correlation, etc. ）. It proposed a window-based SPA method to a
ISSN:1001-3695
DOI:10.3969/j.issn.1001-3695.2015.07.035