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

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.

Authors

Publication Details

Journal
Control Engineering Practice
Published
2025-06-16
DOI
https://doi.org/10.1016/j.conengprac.2025.106427
Citations
1
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
1.21

Funders

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

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article

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

Mirko Mazzoleni, Mehdi Forouzanfar, Zhongkui Du, Maryam Ahang, Zixuan Xu, Vicenç Puig, Silke Merkelbach, Haobin Ke, Junang Liu, Homayoun Najjaran, Hossein Safaeipour, Mattias Krysander, Anna Pinnarelli, Erik Frisk, Anna Sztyber, Yufei Liu, Wanting Zhu, Jiamin Xu, Daniel Jung, Francesco Corrini, Chunhua Yang, Siwen Mo, Qiao Deng, Andrea Arici, Vahid Mirahi, Nicolas Anselmi
article en
1 citations

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.

Control Engineering PracticeVol. 164
Politechnika Warszawska
Openalex Percentile: Top 20%
Fault Detection and Control Systems
1.21
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