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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2408.13269 |
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| _version_ | 1866912000772145152 |
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| author | Jung, Daniel Frisk, Erik Krysander, Mattias |
| author_facet | Jung, Daniel Frisk, Erik Krysander, Mattias |
| contents | This paper presents the LiU-ICE fault diagnosis benchmark. The purpose of the benchmark is to support fault diagnosis research by providing data and a model of an industrially relevant system. Data has been collected from an internal combustion engine test bench operated in both nominal and faulty modes. A state-of-the-art model of the air path through an internal combustion engine with unknown parameters is provided. This benchmark has previously been used in a competition at the 12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (Safe Process) 2024, Ferrara, Italy. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_13269 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The LiU-ICE Benchmark -- An Industrial Fault Diagnosis Case Study Jung, Daniel Frisk, Erik Krysander, Mattias Systems and Control 93A99 G.3; J.2; J.7 This paper presents the LiU-ICE fault diagnosis benchmark. The purpose of the benchmark is to support fault diagnosis research by providing data and a model of an industrially relevant system. Data has been collected from an internal combustion engine test bench operated in both nominal and faulty modes. A state-of-the-art model of the air path through an internal combustion engine with unknown parameters is provided. This benchmark has previously been used in a competition at the 12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (Safe Process) 2024, Ferrara, Italy. |
| title | The LiU-ICE Benchmark -- An Industrial Fault Diagnosis Case Study |
| topic | Systems and Control 93A99 G.3; J.2; J.7 |
| url | https://arxiv.org/abs/2408.13269 |