Design and Analysis of Diagnosis Systems Using Structural Methods. - Mattias Krysander (2006)

Dynamic test selection for reconfigurable diagnosis. - Mattias Krysander; Fredrik Heintz; Jacob Roll; Erik Frisk (CDC, 2008)

An Efficient Algorithm for Finding Minimal Overconstrained Subsystems for Model-Based Diagnosis. - Mattias Krysander; Jan Åslund; Mattias Nyberg (IEEE Trans. Syst. Man Cybern. Part A, 2008)

Sensor Placement for Fault Diagnosis. - Mattias Krysander; Erik Frisk (IEEE Trans. Syst. Man Cybern. Part A, 2008)

Sensor placement for fault isolation in linear differential-algebraic systems. - Erik Frisk; Mattias Krysander; Jan Åslund (Autom., 2009)

FlexDx: A reconfigurable diagnosis framework. - Mattias Krysander; Fredrik Heintz; Jacob Roll; Erik Frisk (Eng. Appl. Artif. Intell., 2010)

Quantitative stochastic fault diagnosability analysis. - Daniel Eriksson; Mattias Krysander; Erik Frisk (CDC/ECC, 2011)

A data-driven and probabilistic approach to residual evaluation for fault diagnosis. - Carl Svärd; Mattias Nyberg; Erik Frisk; Mattias Krysander (CDC/ECC, 2011)

Diagnosability Analysis Considering Causal Interpretations for Differential Constraints. - Erik Frisk; Aníbal Bregón; Jan Åslund; Mattias Krysander; Belarmino Pulido; Gautam Biswas (IEEE Trans. Syst. Man Cybern. Part A, 2012)

A method for quantitative fault diagnosability analysis of stochastic linear descriptor models. - Daniel Eriksson; Erik Frisk; Mattias Krysander (Autom., 2013)

Robust residual selection for fault detection. - Hamed Khorasgani; Daniel E. Jung; Gautam Biswas; Erik Frisk; Mattias Krysander (CDC, 2014)

Lead-acid battery maintenance using multilayer perceptron models. - Sergii Voronov; Erik Frisk; Mattias Krysander (ICPHM, 2018)

Data-Driven Battery Lifetime Prediction and Confidence Estimation for Heavy-Duty Trucks. - Sergii Voronov; Erik Frisk; Mattias Krysander (IEEE Trans. Reliab., 2018)

Design and Selection of Additional Residuals to Enhance Fault Isolation of a Turbocharged Spark Ignited Engine System. - Kok Yew Ng; Erik Frisk; Mattias Krysander (CoDIT, 2020)

Acceleration of Simulation Models Through Automatic Conversion to FPGA Hardware. - Frans Skarman; Oscar Gustafsson; Daniel Jung 002; Mattias Krysander (FPL, 2020)

Pilot-Hopping Sequence Detection Architecture for Grant-Free Random Access using Massive MIMO. - Narges Mohammadi Sarband; Ema Becirovic; Mattias Krysander; Erik G. Larsson; Oscar Gustafsson (ISCAS, 2020)

A Realistic Simulation Testbed of A Turbocharged Spark-Ignited Engine System: A Platform for the Evaluation of Fault Diagnosis Algorithms and Strategies. - Kok Yew Ng; Erik Frisk; Mattias Krysander; L. Eriksson (CoRR, 2020)

Sensor selection for fault diagnosis in uncertain systems. - Daniel Jung 002; Yi Dong; Erik Frisk; Mattias Krysander; Gautam Biswas (Int. J. Control, 2020)

Massive Machine-Type Communication Pilot-Hopping Sequence Detection Architectures Based on Non-Negative Least Squares for Grant-Free Random Access. - Narges Mohammadi Sarband; Ema Becirovic; Mattias Krysander; Erik G. Larsson; Oscar Gustafsson (IEEE Open J. Circuits Syst., 2021)

Energy-Based Survival Models for Predictive Maintenance. - Olov Holmer; Erik Frisk; Mattias Krysander (CoRR, 2023)

Analysis of Numerical Integration in RNN-Based Residuals for Fault Diagnosis of Dynamic Systems. - Arman Mohammadi; Theodor Westny; Daniel Jung 002; Mattias Krysander (CoRR, 2023)

Fault Diagnosability Analysis of Multi-Mode Systems. - Fatemeh Hashemniya; Benoît Caillaud; Erik Frisk; Mattias Krysander; Mathias Malandain (CoRR, 2023)

Structural Diagnosability Analysis of Switched and Modular Battery Packs. - Fatemeh Hashemniya; Arvind Balachandran; Erik Frisk; Mattias Krysander (CoRR, 2023)

Test Selection for Diagnosing Multimode Systems (Short Paper). - Mattias Krysander; Fatemeh Hashemniya (DX, 2024)

Neural Network-Based Piecewise Survival Models. - Olov Holmer; Erik Frisk; Mattias Krysander (CoRR, 2024)

Usage-Specific Survival Modeling Based on Operational Data and Neural Networks. - Olov Holmer; Mattias Krysander; Erik Frisk (CoRR, 2024)

The LiU-ICE Benchmark - An Industrial Fault Diagnosis Case Study. - Daniel Jung 002; Erik Frisk; Mattias Krysander (CoRR, 2024)

DATASET FOR FAULT CLASSIFICATION IN ROCK DRILLS (PHM2022 Data). - Erik Jakobsson; Erik Frisk; Mattias Krysander (IEEE DataPort, 2024)