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.
@article{arxiv.2408.13269,
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}
}