A Graph Theory–Based Approach to the Description of the Process and the Diagnostic System

IF 1.6 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS International Journal of Applied Mathematics and Computer Science Pub Date : 2022-06-01 DOI:10.34768/amcs-2022-0016
J. M. Kóscielny, M. Bartyś, M. Syfert, Anna Sztyber
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Abstract

Abstract The paper proposes an original, comprehensive, and methodically consistent graph theory-based approach to the description of the diagnosed process and the diagnosing system. The main baseline of the presented approach is in the dichotomous approach to diagnosing. It involves a separate description of both the process and the diagnostic system. This approach reflects the practice of designing implementable diagnostic systems. Thus, it can be seen as a proposal of a new, alternative, and, at the same time, flexible design procedure with great potential for applications. The primary motivation behind it was an attempt to circumvent the numerous limitations of well-known and well-established diagnosis approaches proposed by the communities working on fault detection and isolation (FDI) and artificial intelligence theories for diagnosis (DX). Accordingly, the paper identifies and provides an extensive discussion and a critical analysis of the existing limitations. Numerous examples and references to practical applications of the approach are indicated.
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基于图论的过程描述与诊断系统
摘要本文提出了一种新颖、全面、系统一致的基于图论的诊断过程描述和诊断系统描述方法。提出的方法的主要基线是在二分法诊断。它包括对过程和诊断系统的单独描述。这种方法反映了设计可实施诊断系统的实践。因此,它可以被视为一种新的,可选择的,同时也是具有巨大应用潜力的灵活设计过程的建议。其背后的主要动机是试图规避由致力于故障检测和隔离(FDI)和诊断人工智能理论(DX)的社区提出的众所周知和完善的诊断方法的众多局限性。因此,本文确定并提供了对现有局限性的广泛讨论和批判性分析。给出了该方法的大量实例和实际应用参考。
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来源期刊
CiteScore
4.10
自引率
21.10%
发文量
0
审稿时长
4.2 months
期刊介绍: The International Journal of Applied Mathematics and Computer Science is a quarterly published in Poland since 1991 by the University of Zielona Góra in partnership with De Gruyter Poland (Sciendo) and Lubuskie Scientific Society, under the auspices of the Committee on Automatic Control and Robotics of the Polish Academy of Sciences. The journal strives to meet the demand for the presentation of interdisciplinary research in various fields related to control theory, applied mathematics, scientific computing and computer science. In particular, it publishes high quality original research results in the following areas: -modern control theory and practice- artificial intelligence methods and their applications- applied mathematics and mathematical optimisation techniques- mathematical methods in engineering, computer science, and biology.
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