App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 6

Fault diagnosis of labeled time Petri net systems based on observable MSCG

Li Yaqiong1
He Zhaoyun1
Li Liang2
1. School of Artificial Intelligence, Wuchang University of Technology, Wuhan 430223, China
2. School of Artificial Intelligence and Automation, Wuhan University of Science and Technology, Wuhan 430081, China
DOI: 10.19734/j.issn.1001-3695.2025.10.0437

Abstract

To address the challenge of fault diagnosis in labeled time Petri net (LTPN) with unobservable transitions, we propose an efficient diagnosis method based on an observable modified state class graph (MSCG) . The approach begins by constructing an observable MSCG according to the observed time-label sequence (TLS) , which captures partial system behavior and thereby avoids the computation of the full state space. By analyzing the satisfiability of timing constraints associated with transitions in the MSCG, we derive a set of paths consistent with the observed TLS. Then it achieves accurate fault identification and diagnosis. Finally, we validate the effectiveness of the proposed method in terms of diagnostic efficiency and state space control through an LTPN-based model of an automated manufacturing system.

Foundation Support

国家自然科学基金资助项目(62303359)
湖北省教育厅科学技术研究项目(B2023327,B2023332)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.10.0437
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 6

Publish History

[2026-02-26] Accepted Paper

Cite This Article

李雅琼, 贺照云, 黎良. 基于可观测MSCG的标签时间Petri网系统故障诊断 [J]. 计算机应用研究, 2026, 43 (6). (2026-03-24). https://doi.org/10.19734/j.issn.1001-3695.2025.10.0437. (Li Yaqiong, He Zhaoyun, Li Liang. Fault diagnosis of labeled time Petri net systems based on observable MSCG [J]. Application Research of Computers, 2026, 43 (6). (2026-03-24). https://doi.org/10.19734/j.issn.1001-3695.2025.10.0437. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)