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System Development & Application
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3720-3723

Root variable diagnosis of industrial process fault based on simplifying causality diagram

Guo Xiaoping
Hong Shengyuan
Li Yuan
College of Information Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China

Abstract

When root cause diagnosis for industrial process fault, due to the characteristics of the process itself and feedback control, the causality diagram of variables is too complicated, so that the fault propagation path is difficult to explain and unable to find the most fundamental variable leading to the fault. This paper proposed a method of simplifying the causality diagram. It could simplify the causality diagram constructed by the convergent cross mapping method through "two steps" and preserved the main fault propagation paths. Firstly, the fuzzy comprehensive evaluation determined the relationship of uncertainty in the causality diagram. Then it got the weighted undirected graph by solving the maximum spanning tree. Selecting the root node based on the causal relationship between variables, it obtained new path and the weighted undirected graph to improve it into the weighted directed graph. This paper did the validation experiments in the TE process. Compared with the traditional convergent cross mapping method, the results show that the proposed method is effective.

Foundation Support

国家自然科学基金资助项目(61673279)
辽宁省教育厅资助项目(LJ2020021)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.05.0228
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 12
Section: System Development & Application
Pages: 3720-3723
Serial Number: 1001-3695(2022)12-030-3720-04

Publish History

[2022-07-27] Accepted Paper
[2022-12-05] Printed Article

Cite This Article

郭小萍, 洪升园, 李元. 基于简化因果图的工业过程故障根本变量诊断 [J]. 计算机应用研究, 2022, 39 (12): 3720-3723. (Guo Xiaoping, Hong Shengyuan, Li Yuan. Root variable diagnosis of industrial process fault based on simplifying causality diagram [J]. Application Research of Computers, 2022, 39 (12): 3720-3723. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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