DX Competition '25 - Call for Participation
Ingo Pill
Following up on the news about the competition sent out in January, we'd like to invite you to participate. That is, the DX’25 organization committee is proud to announce that there will be a DX competition [1], where the contestants can enter their solutions for addressing diagnosis problems in three benchmarks.
As extra motivation for your participation, we would like to let you know that we’re in contact with the AIJ associate editor Meir Kalech who is responsible for special issues dedicated to AI competitions. Depending on the submissions, the DXC competition might become part of such a special issue, so that we would invite contestants for extended versions of their DX competition papers.
The evaluations will be provided before the DX paper submission deadline, so that the contestants can incorporate their results into corresponding papers (please see the DX submission page for more details such as the page limit). Each participant may tackle one, two, or all three benchmarks:
- The LiU-ICE benchmark covers some challenging problems of fault diagnosis of technical systems. The case study is an internal combustion engine, and the goal is to develop a diagnosis system that can diagnose under realistic operating conditions. A structural model of the system and operational data are provided where the data include both nominal and faulty operation. The challenges in the LiU-ICE benchmark include incomplete training data and limited model information.
- SLIDe (Steam Line Intrusion Detection) benchmark is devoted to evaluating diagnostic algorithms performing the tasks of detection and isolation of process faults and detection of cybernetic attacks in the third and fourth stages of superheaters of the fluidized bed boiler steam line. It includes challenging scenarios of sensor, actuator and technological component faults and examples of cybernetic attacks. To reflect the industrial nature of the benchmark, the participants will only have access to a qualitative description of the process and several archival datasets representing different operating conditions, but only for fault-free and attack-free states.
- LUMEN (Liquid Upper stage demonstrator Engine) is a modular pump-fed liquid oxygen (LOX) and liquid methane (LNG) rocket engine developed by the Institute of Space Propulsion of the German Aerospace Center (DLR). This benchmark focuses on the fuel turbopump subsystem of the rocket engine and addresses key challenges encountered in safety-critical systems, such as the lack of experimental data from faulty operation. The goal of this benchmark is to utilize information from a simulation model with uncertain parameters and limited experimental data from nominal operation to enable the diagnosis system to perform effectively under realistic operating conditions.
For more information about the benchmarks, we refer the interested reader to the DXC’25 repository [2], where we offer detailed information about the challenges and also about how to enter the competition.
Please note that the initial submission deadline will be April 1st, and we aim to hold office hours where contestants may ask questions about the tracks periodically. Please do not hesitate to contact any of the individual benchmark chairs or the co-chairs for the competition to discuss questions that you might have about the competition.
The DXC’25 organization team (in a.o.):
Johan de Kleer
(co-chair), Jan Deeken, Kai Dresia, Erik Frisk, Daniel Jung (chair
LiU-ICE), Mattias Krysander, Eldin Kurudzija (chair Lumen), Ingo Pill
(co-chair), Michal Syfert, Anna Sztyber-Betley (chair SLIDe), Tobias
Traudt, Günther Waxenegger-Wilfling
[1] https://conf.researchr.org/home/dx-2025#Competition
[2] DXC'25 repository https://vehsys.gitlab-pages.liu.se/dx25benchmarks/