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App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 2

Reliable fault prediction of decentralized stochastic discrete-event systems based on dynamic copredictor

Liu Fuchun
Chen Zehao
Liu Jianqi
School of Computers, Guangdong University of Technology, Guangzhou 510006, China
DOI: 10.19734/j.issn.1001-3695.2025.07.0234

Abstract

Most existing decentralized discrete-event system (DES) fault prediction methods rely on fixed event observability and assume that local information is always available. Such assumptions restrict their applicability in practical scenarios where event observability changes with system states and partial local prediction information may be lost due to network congestion. A reliable fault prediction method for decentralized stochastic DES (SDES) based on a dynamic copredictor is proposed. First, the concept of dynamic observation is introduced to formalize the notion of reliable copredictability, which requires the system under dynamic observation to probabilistically guarantee that all faults can be predicted at least m steps in advance, even if some local prediction information is lost. Then, a dynamic copredictor is constructed and a necessary and sufficient condition for reliable copredictability is derived, along with a corresponding verification algorithm. Finally, an example illustrates the application of the reliable copredictability verification algorithm under dynamic observation. Compared with existing methods, the proposed approach provides more reliable fault prediction for decentralized SDES and remains effective under dynamically changing observability and partial loss of local prediction information.

Foundation Support

国家自然科学基金资助项目(62172111)
国家自然科学基金-广东联合基金重点项目(U21A20478)
广东省自然科学基金项目(2023A1515012783)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.07.0234
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 2

Publish History

[2025-10-25] Accepted Paper

Cite This Article

刘富春, 陈泽灏, 刘建圻. 基于动态协同预测器的分布式随机离散事件系统的可靠故障预测 [J]. 计算机应用研究, 2026, 43 (2). (2025-11-04). https://doi.org/10.19734/j.issn.1001-3695.2025.07.0234. (Liu Fuchun, Chen Zehao, Liu Jianqi. Reliable fault prediction of decentralized stochastic discrete-event systems based on dynamic copredictor [J]. Application Research of Computers, 2026, 43 (2). (2025-11-04). https://doi.org/10.19734/j.issn.1001-3695.2025.07.0234. )

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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