App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 10

System-level fault diagnosis algorithm based on syndrome matrix and iterative reasoning

Wang Huming
Leng Ming
Sun Lingyu
School of Electronic and Information Engineering, JingGangShan University, Jian 343009, China
DOI: 10.19734/j.issn.1001-3695.2026.03.0034

Abstract

System-level fault diagnosis ensures the reliability of multiprocessor systems. For one-step t-diagnosable systems under the PMC model, general diagnosis algorithms incurred high time overhead in large-scale irregular topologies, while topology-specific methods lacked generalizability and evolutionary approaches suffered from instability. This paper proposed a system-level fault diagnosis algorithm, termed MIR-FD, based on a syndrome matrix and iterative reasoning. The algorithm first constructed a heuristic initial hypothesis using the statistical distribution of the syndrome matrix, which provides a favorable starting point for subsequent reasoning. It then performed deterministic state propagation and conflict detection according to the PMC model rules, and incorporated a backtracking mechanism to achieve global convergence. Theoretical analysis established the termination, consistency, completeness, correctness, and time complexity of the algorithm. Simulation experiments on a 10-dimensional hypercube network and a real-world power grid network demonstrated that the proposed algorithm maintains 100% diagnostic accuracy while outperforming classical graph-matching and evolutionary algorithms in both running efficiency and temporal stability.

Foundation Support

国家自然科学基金资助项目(62562040,62262032,61862035,61562046)
吉安市自然科学基金资助项目(20255-061656)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.03.0034
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 10

Publish History

[2026-07-08] Accepted Paper

Cite This Article

王虎明, 冷明, 孙凌宇. 基于症候矩阵与迭代推理机制的系统级故障诊断算法 [J]. 计算机应用研究, 2026, 43 (10). (2026-07-30). https://doi.org/10.19734/j.issn.1001-3695.2026.03.0034. (Wang Huming, Leng Ming, Sun Lingyu. System-level fault diagnosis algorithm based on syndrome matrix and iterative reasoning [J]. Application Research of Computers, 2026, 43 (10). (2026-07-30). https://doi.org/10.19734/j.issn.1001-3695.2026.03.0034. )

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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