Fault detection of large-scale process control system with higher-order statistical and interpretative structural model

2015 ◽  
Vol 23 (1) ◽  
pp. 146-153 ◽  
Author(s):  
Zhiqiang Geng ◽  
Ke Yang ◽  
Yongming Han ◽  
Xiangbai Gu
Keyword(s):  
Control System ◽  
Fault Detection ◽  
Process Control ◽  
Large Scale ◽  
Structural Model ◽  
Process Control System ◽  
Higher Order

Validation of the process control system of an automated large scale manufacturing plant

1998 ◽  
Vol 72 (6) ◽  
pp. 333-342
Author(s):  
Heinz Neuhaus ◽  
Hans Kremers ◽  
Thomas Karrer ◽  
R.Helge Traut
Keyword(s):  
Control System ◽  
Process Control ◽  
Large Scale ◽  
Process Control System ◽  
Manufacturing Plant

Fault detection in a thermal process control system with input constraints using a robust right coprime factorization approach

2007 ◽  
Vol 221 (6) ◽  
pp. 819-831 ◽  
Author(s):  
M Deng ◽  
A Inoue ◽  
K Edahiro
Keyword(s):  
Control System ◽  
Fault Detection ◽  
Process Control ◽  
Thermal Process ◽  
Process Control System ◽  
Linear Operators ◽  
Input Constraints ◽  
Factorization Approach ◽  
Operator System ◽  
Coprime Factorization

A fault detection method in an uncertain aluminium plate thermal process control system with input constraints is presented. The method is based on a robust right coprime factorization approach. The detailed explanation is as follows. Based on right coprime factorization dynamics, a model of the thermal process is developed. Using the concept of robust right coprime factorization of non-linear operators, a robust tracking operator system for the process is designed. For checking the tracking operator system, a fault detection design scheme is proposed. Further, simulation and experimental results are also presented to support the theoretical results.

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