A fault diagnosis benchmark of technical systems with incomplete data — six solutions

IF 4.6 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Control Engineering Practice Pub Date : 2025-06-16 DOI:10.1016/j.conengprac.2025.106427

Daniel Jung , Erik Frisk , Mattias Krysander , Anna Sztyber-Betley , Francesco Corrini , Andrea Arici , Nicolas Anselmi , Mirko Mazzoleni , Jiamin Xu , Siwen Mo , Zixuan Xu , Chongpan Yang , Zhile Du , Hossein Safaeipour , Mehdi Forouzanfar , Vahid Mirahi , Anna Pinnarelli , Vicenç Puig , Qiao Deng , Yufei Liu , Homayoun Najjaran

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引用次数: 0

Abstract

This paper presents a benchmark problem for fault diagnosis of an internal combustion engine that has been formulated and solved. The objective is to design a diagnosis system using and incomplete model information training data that only contains a limited set of fault realizations. Six different solutions to the benchmark, that were presented at the IFAC Safeprocess symposium 2024, are described and evaluated. The contribution of this paper is the benchmark and the presentation of six different solutions in one paper. The paper is intended to provide a starting point for engineers and researchers who work with fault diagnosis and monitoring of technical systems.

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数据不完全技术系统的故障诊断基准——六解

本文提出并解决了内燃机故障诊断的基准问题。目标是设计一个诊断系统，使用不完整的模型信息训练数据，只包含有限的故障实现集。在IFAC安全过程研讨会2024上提出了六种不同的基准解决方案，并对其进行了描述和评估。本文的贡献是在一篇论文中提供了基准和六种不同的解决方案。本文旨在为从事技术系统故障诊断和监测工作的工程师和研究人员提供一个起点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Control Engineering Practice 工程技术-工程：电子与电气

CiteScore

9.20

自引率

12.20%

发文量

183

审稿时长

44 days

期刊介绍： Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper. The scope of Control Engineering Practice matches the activities of IFAC. Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.