The LiU-ICE Benchmark -- An Industrial Fault Diagnosis Case Study
<|reference_start|>The LiU-ICE Benchmark -- An Industrial Fault Diagnosis Case Study: 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.<|reference_end|>
@article{jung2024the,
    title={The LiU-ICE Benchmark -- An Industrial Fault Diagnosis Case Study},
    author={Daniel Jung and Erik Frisk and Mattias Krysander},
    journal={arXiv preprint arXiv:2408.13269},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.13269},
    primaryClass={eess.SY cs.SY}
}