Daniel Jung
Associate Professor, Docent
Publications
Arman Mohammadi, Mattias Krysander, Daniel Jung, 
Consistency-based diagnosis using data-driven residuals and limited training data, Control Engineering Practice 159:106283 (2025) 
https://doi.org/10.1016/j.conengprac.2025.106283
Vishnu Renganathan, Daniel Jung, Ekim Yurtsever, Qadeer Ahmed, Learning robust residuals for attack diagnosis of advanced driver assist systems, Control Engineering Practice 162:106366 (2025) https://doi.org/10.1016/j.conengprac.2025.106366
Daniel Jung, David Axelsson, A Study on Redundancy and Intrinsic Dimension for Data-Driven Fault Diagnosis, (2024) https://doi.org/10.4230/OASIcs.DX.2024.4
Daniel Jung, Erik Frisk, Mattias Krysander, The LiU-ICE Benchmark – An Industrial Fault Diagnosis Case Study (2024) 
https://arxiv.org/abs/2408.13269
Daniel Jung, Mattias Krysander, Assumption-based Design of Hybrid Diagnosis Systems: Analyzing Model-based and Data-driven Principles, (2024) https://doi.org/10.36001/phmconf.2024.v16i1.4141
