Data-driven design of monitoring and diagnosis systems for dynamic processes: A review of subspace technique based schemes and some recent results

被引：192

作者：

Ding, S. X. ^{[1
]}

机构：

[1] Univ Duisburg Essen, Inst Automat Control & Complex Syst AKS, D-47057 Duisburg, Germany

来源：

JOURNAL OF PROCESS CONTROL | 2014年 / 24卷 / 02期

关键词：

Process monitoring and fault diagnosis; Data-driven methods; Observer-based methods; Subspace identification methods; Parity space; PROCESS FAULT-DETECTION; IDENTIFICATION; OBSERVER; FILTER; PCA;

D O I：

10.1016/j.jprocont.2013.08.011

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the development of data-driven design of process monitoring and fault diagnosis (PM-FD) systems is reviewed and some recent results are presented. A major objective of this work is to sketch a process input-output data based framework of designing PM-FD systems for dynamic processes. The main focus of our study is on the data-driven design of observer-based PM-FD systems, which are, thanks to their high robustness and real-time ability, suitable for industrial applications. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：431 / 449

页数：19

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