Below is a list of relevant references from Vehicular Systems that in more detail describes the methods that are implemented in the toolbox. Disclaimer, this list has no ambition to cover all our work nor does it aim to cover the many relevant works by other researchers that are related to the methods in the toolbox.
If you use this toolbox in your research, please cite
Erik Frisk, Mattias Krysander, and Daniel Jung. “A Toolbox for Analysis and Design of Model Based Diagnosis Systems for Large Scale Models” IFAC World Congress. Toulouse, France, 2017.
Below are some selected publications in key areas covered by the toolbox.
Finding Testable Models
Mattias Krysander, Jan Åslund, and Mattias Nyberg, “An Efficient Algorithm for Finding Minimal Over-constrained Sub-systems for Model-based Diagnosis”. IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, 38(1), 2008.
Mattias Krysander, Jan Åslund, and Erik Frisk, “A Structural Algorithm for Finding Testable Sub-models and Multiple Fault Isolability Analysis”. 21st International Workshop on Principles of Diagnosis (DX-10). Portland, Oregon, USA, 2010.
Sensor Placement Analysis
Mattias Krysander, and Erik Frisk, “Sensor placement for fault diagnosis”. IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, 38(6):1398–1410, 2008.
Erik Frisk, Mattias Krysander, and Jan Åslund, “Sensor Placement for Fault Isolation in Linear Differential-Algebraic Systems”. Automatica, 45(2):364–371, 2009.
Erik Frisk, Anibal Bregon, Jan Åslund, Mattias Krysander, Belarmino Pulido, and Gautam Biswas, “Diagnosability Analysis Considering Causal Interpretations for Differential Constraints”. IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, 42(5):1216–1229, 2012.
Erik Frisk, Mattias Krysander, and Jan Åslund. “Analysis and Design of Diagnosis Systems Based on the Structural Differential Index” IFAC World Congress, 2017. Toulouse, France, 2017.
Mattias Krysander and Erik Frisk. “Diagnosis Analysis of Modelica Models”. IFAC SafeProcess, Warszaw, Poland, 2018.
Daniel Jung and Erik Frisk. “Residual Selection for Fault Detection and Isolation Using Convex Optimization”. Automatica, 97:143–149, 2018.
Erik Frisk and Mattias Krysander. “Residual Selection for Consistency Based Diagnosis Using Machine Learning Models”. IFAC SafeProcess. Warszaw, Poland, 2018.
See https://gitlab.liu.se/erifr93/MLTestSelection/ for code and data.
Carl Svärd, Mattias Nyberg, Erik Frisk, and Mattias Krysander, “Automotive Engine FDI by Application of an Automated Model-Based and Data-Driven Design Methodology”. Control Engineering Practice, 21(4):455–472, 2013.
Carl Svärd, Mattias Nyberg, and Erik Frisk, “Realizability Constrained Selection of Residual Generators for Fault Diagnosis with an Automotive Engine Application”. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 43(6):1354–1369, 2013.
Dilek Dustegör, Erik Frisk, Vincent Coquempot, Mattias Krysander, and Marcel Staroswiecki, “Structural Analysis of Fault Isolability in the DAMADICS benchmark”. Control Engineering Practice, 14(6):597–608, 2006.
Albert Rosich, Erik Frisk, Jan Åslund, Ramon Sarrate, and Fatiha Nejjari, “Fault Diagnosis Based on Causal Computations”. IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, 42(2):371–381, 2012.