Reconstruction-based contribution for process monitoring

被引：512

作者：

Alcala, Carlos F. ^{[1
]}

Qin, S. Joe ^{[1
,2
]}

机构：

[1] Univ So Calif, Mork Family Dept Chem Engn & Mat Sci, Los Angeles, CA 90089 USA

[2] Univ So Calif, Ming Hsieh Dept Elect Engn, Los Angeles, CA 90089 USA

来源：

AUTOMATICA | 2009年 / 45卷 / 07期

基金：

美国国家科学基金会;

关键词：

Process monitoring; Fault diagnosis; Reconstruction; Contribution analysis; Diagnosability; FAULT-DETECTION; IDENTIFICATION; DIAGNOSIS; SENSORS;

D O I：

10.1016/j.automatica.2009.02.027

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a new method to perform fault diagnosis for data-correlation based process monitoring. As an alternative to the traditional contribution plot method, a reconstruction-based contribution for fault diagnosis is proposed based on monitored indices, SPE, T-2 and a combined index p. Analysis of the diagnosability of the traditional contributions and the reconstruction-based contributions is performed. The lack of diagnosability of traditional contributions is analyzed for the case of single sensor faults with large fault magnitudes. whereas for the same case the proposed reconstruction-based contributions guarantee correct diagnosis. Monte Carlo simulation results are provided for the case of modest fault magnitudes by randomly assigning fault sensors and fault magnitudes. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：1593 / 1600

页数：8

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