A signed directed graph-based systematic framework for steady-state malfunction diagnosis inside control loops
A signed directed graph-based systematic framework for steady-state malfunction diagnosis inside control loops
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DOI：
10.1016/j.ces.2005.10.023
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发表时间：
2006-03-01
影响因子：
4.7
通讯作者：
Venkatasubramanian, V
中科院分区：
文献类型：
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作者：
Maurya, MR;Rengaswamy, R;Venkatasubramanian, V
虽然符号有向图（SDG）已被广泛用于建模控制回路，但由于对基于SDG的稳态过程建模缺乏足够的理解，因此使用特殊且繁琐的方法来分析控制回路。在本文中，我们讨论了一个统一的SDG模型的控制回路，其中既干扰（传感器偏差等），以及结构故障（传感器故障、控制器故障等）。在稳态条件下可以很容易地建模。各种故障情况下，如外部干扰，传感器偏差，控制器故障等进行了深入的分析。提出了一种基于稳态系统SDG模型的稳态故障诊断新算法，该算法采用正向和反向推理相结合的方法。三个案例研究显示的实用程序的稳态SDG模型的故障诊断。作为第一个案例研究的坦克液位控制系统。第二个案例研究涉及多流控制的CSTR的故障诊断。第三个案例研究涉及故障/故障诊断的工艺流程包含一个CSTR与一个控制回路和一个闪蒸器与三个控制回路。(c)2005爱思唯尔有限公司保留所有权利。
Although signed directed graphs (SDG) have been widely used for modeling control loops, due to lack of adequate understanding of SDG-based steady-state process modeling, special and cumbersome methods are used to analyze control loops. In this paper, we discuss a unified SDG model for control loops, in which both disturbances (sensor bias, etc.) as well as structural faults (sensor failure, controller failure, etc.) can be easily modeled under steady-state conditions. Various fault scenarios such as external disturbances, sensor bias, controller failure, etc. have been thoroughly analyzed. A new algorithm for steady-state fault diagnosis using the SDG model for the steady-state system, that uses a combination of forward- and backward-reasoning, is proposed. Three case studies are presented to show the utility of the steady-state SDG model for fault diagnosis. A tank-level control system is used as the first case study. The second case study deals with fault diagnosis of a multi-stream-control led CSTR. The third case study deals with fault/failure diagnosis in a process flowsheet containing a CSTR with one control loop and a flash vaporizer with three control loops. (c) 2005 Elsevier Ltd. All rights reserved.