Fault diagnosis of control system based on signed directed graph model

LU Bingnan; ZHANG Beike; MA Xin; XU Xin; GAO Dong

您当前的位置：

首页 >

文章列表页 >

Fault diagnosis of control system based on signed directed graph model

更新时间：2025-12-10

- Fault diagnosis of control system based on signed directed graph model
- CIESC Journal Issue 9, Pages: 2243-2251(2009)
- 作者机构：
  
  1. 北京化工大学化学工程学院
  2. 北京化工大学信息科学与技术学院
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：05 September 2009，
  
  Published：05 September 2009
- 稿件说明：
移动端阅览
LU Bingnan, ZHANG Beike, MA Xin, et al. Fault diagnosis of control system based on signed directed graph model[J]. CIESC Journal, 2009, (9): 2243-2251.
DOI：

LU Bingnan, ZHANG Beike, MA Xin, et al. Fault diagnosis of control system based on signed directed graph model[J]. CIESC Journal, 2009, (9): 2243-2251. DOI：

摘要

利用深层定性知识模型、符号有向图模型，对生产流程中常见的单回路和串级控制系统进行了建模与故障诊断研究。提出基于假设-验证的双向推理算法，解决了传统的故障诊断方法从未涉及复杂系统中的多个控制回路对系统故障存在的屏蔽作用的问题。通过对某厂常压蒸馏装置进行基于SDG模型的故障诊断，验证了基于SDG模型的故障诊断方法应用在包含多个控制回路的复杂系统故障诊断时的有效性与可行性。

Abstract

The problem of modeling and fault diagnosis of the single loop and cascade loop control systems was studied based on the deep quantitative knowledge model

signed directed graph (SDG）.A bidirectional inference method based on supposition and validation was introduced

and the problem of the shielding of the multiple control loops in the complex system with respect to the system fault in the traditional fault diagnosis was resolved.The method of fault diagnosis based on the SDG model was applied to the actual distillation equipment under atmosphere pressure

which proved the validity and feasibility of the SDG fault diagnosis method in the complex systems with multiple control loops.

关键词

Keywords

references

Views

161

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Extracting knowledge based on GEP for fault diagnosis of chemical processes

Batch process monitoring and fault diagnosis based on improved multi-way principal component analysis

Classification of process hazard scenario and SDG qualitative identification method

Fault diagnosis in TE process based on feature selection via second order mutual information

Naphtha cracking furnace fault diagnosis based on adaptive quantum ant colony algorithm

Related Author

YANG Guojun

XIONG Haixia

LI Xiuxi

GONG Yanjie

GAO Xuejin

WANG Pu

QI Yongsheng

NA Yongliang

Related Institution

华南理工大学化学与化工学院

内蒙古工业大学信息工程学院

北京工业大学电子信息与控制工程学院

中石化安全工程研究院

北京东方仿真控制技术有限公司

⁰