s Daniel Jung - Vehicular Systems
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Publikationer

Följande publikationer finns i Fordonssystems databas.



Journal Papers

2021
[Voronov et al., 2021]
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A Forest-based Algorithm for Selecting Informative Variables Using Variable Depth Distribution.
Sergii Voronov, Daniel Jung, and Erik Frisk (2021).
In: Engineering Applications of Artificial Intelligence, .
2020
[Jung, 2020]
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Distributed Feature Selection for Multi-Class Classification Using ADMM.
Daniel Jung (2020).
In: IEEE Control System Letters, .
[Jung, 2020]
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Data-driven Open Set Fault Classification of Residual Data using Bayesian Filtering.
Daniel Jung (2020).
In: IEEE Transactions on Control System Technology, .
[Khorasghani et al., 2020]
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Structural Methodologies for Distributed Fault Detection and Isolation.
Hamed Khorasghani, Gautam Biswas, and Daniel Jung (2020).
In: Applied Sciences, .
2019
[Åslund et al., 2019]
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Asymptotic behavior of a fault diagnosis performance measure for linear systems.
Jan Åslund, Erik Frisk, and Daniel Jung (2019).
In: Automatica, 106:143--149.
2018
[Jung et al., 2018]
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Combining model-based diagnosis and data-driven anomaly classifiers for fault isolation.
Daniel Jung, Kok Yew Ng, Erik Frisk, and Mattias Krysander (2018).
In: Control Engineering Practice, 80:146--156.
[Jung and Frisk, 2018]
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Residual Selection for Fault Detection and Isolation Using Convex Optimization.
Daniel Jung, and Erik Frisk (2018).
In: Automatica, 97:143--149.
[Jung et al., 2018]
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Sensor selection for fault diagnosis in uncertain systems.
Daniel Jung, Yi Dong, Erik Frisk, Mattias Krysander, and Gautam Biswas (2018).
In: International Journal of Control, 0(0):1--11.
2017
[Jung and Sundstrom, 2017]
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A Combined Data-Driven and Model-Based Residual Selection Algorithm for Fault Detection and Isolation.
Daniel Jung, and Christofer Sundstrom (2017).
In: IEEE Transactions on Control Systems Technology, PP(99):1--15.
[Polverino et al., 2017]
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Model-based diagnosis through Structural Analysis and Causal Computation for automotive Polymer Electrolyte Membrane Fuel Cell systems.
Pierpaolo Polverino, Erik Frisk, Daniel Jung, Mattias Krysander, and Cesare Pianese (2017).
In: Journal of Power Sources, 357(31 July).
2016
[Jung et al., 2016]
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A flywheel error compensation algorithm for engine misfire detection.
Daniel Jung, Erik Frisk, and Mattias Krysander (2016).
In: Control Engineering Practice, 47:37--47.
2015
[Jung et al., 2015]
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Development of misfire detection algorithm using quantitative FDI performance analysis.
Daniel Jung, Lars Eriksson, Erik Frisk, and Mattias Krysander (2015).
In: Control Engineering Practice, 34(0):49--60.
2013
[Eriksson et al., 2013]
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A method for quantitative fault diagnosability analysis of stochastic linear descriptor models.
Daniel Eriksson, Erik Frisk, and Mattias Krysander (2013).
In: Automatica, 49(6):1591--1600.


Conference Papers

2018
[Jung and Ahmed, 2018]
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Active Fault Management in Autonomous Systems Using Sensitivity Analysis.
Daniel Jung, and Qadeer Ahmed (2018).
In: IFAC Safe Process. Warszaw, Poland.
[Deosthale et al., 2018]
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Sensor Selection for Fault Detection and Isolation in Structurally Reconfigurable Systems.
Eeshan Deosthale, Daniel Jung, and Qadeer Ahmed (2018).
In: American Control Conference. Milwaukee, United States.
[Jung et al., 2018]
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Design Space Exploration for Powertrain Electrification using Gaussian Processes.
Daniel Jung, Qadeer Ahmed, and Giorgio Rizzoni (2018).
In: American Control Conference. Milwaukee, United States.
[Jung et al., 2018]
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Mission-based Design Space Exploration for Powertrain Electrification of Series Plugin Hybrid Electric Delivery Truck.
Daniel Jung, Qadeer Ahmed, Xieyuan Zhang, and Giorgio Rizzoni (2018).
In: SAE 2018 World Congress & Exhibition. Volume SAE Technical Paper 2018-01-1027. Detroit, United States.
[Tamilarasan et al., 2018]
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Drive Scenario Generation Based on Metrics for Evaluating an Autonomous Vehicle Controller.
Santhosh Tamilarasan, Daniel Jung, and Levent Guvenc (2018).
In: SAE 2018 World Congress & Exhibition. Volume SAE Technical Paper 2018-01-0034. Detroit, United States.
[Oruganti et al., 2018]
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Effects of Thermal and Auxiliary Dynamics of a Fuel Cell Based Range Extender.
Pradeep Sharma Oruganti, Qadeer Ahmed, and Daniel Jung (2018).
In: SAE 2018 World Congress & Exhibition. Volume SAE Technical Paper 2018-01-1311. Detroit, United States.
2017
[Jung et al., 2017]
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Residual change detection using low-complexity sequential quantile estimation.
Daniel Jung, Erik Frisk, and Mattias Krysander (2017).
In: IFAC World Congress. Toulouse, France.
[Frisk et al., 2017]
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A Toolbox for Analysis and Design of Model Based Diagnosis Systems for Large Scale Models.
Erik Frisk, Mattias Krysander, and Daniel Jung (2017).
In: IFAC World Congress. Toulouse, France.
2016
[Voronov et al., 2016]
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Variable selection for heavy-duty vehicle battery failure prognostics using random survival forests.
Sergii Voronov, Daniel Jung, and Erik Frisk (2016).
In: Third European Conference of the Prognostics and Health Management Society 2016. Bilbao, Spain.
[Jung, 2016]
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A generalized fault isolability matrix for improved fault diagnosability analysis.
Daniel Jung (2016).
Conference on Control and Fault-Tolerant Systems (SysTol'16). Barcelona, Spain.
[Jung et al., 2016]
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A combined diagnosis system design using model-based and data-driven techniques.
Daniel Jung, Kok Yew Ng, Erik Frisk, and Mattias Krysander (2016).
Conference on Control and Fault-Tolerant Systems (SysTol'16). Barcelona, Spain.
[Sundström et al., 2016]
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Analysis of optimal energy management in smart homes using MPC.
Christofer Sundström, Daniel Jung, and Anders Blom (2016).
In: Transactions of 15th European Control Conference. Ålborg, Denmark.
[Voronov et al., 2016]
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Heavy-duty truck battery failure prognostics using random survival forests.
Sergii Voronov, Daniel Jung, and Erik Frisk (2016).
In: IFAC Advances in Automotive Control. Kolmården, Sweden.
2015
[Jung et al., 2015]
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Analysis of fault isolation assumptions when comparing model-based design approaches of diagnosis systems.
Daniel Jung, Hamed Khorasgani, Erik Frisk, Mattias Krysander, and Gautam Biswas (2015).
In: 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes Safeprocess'15. Paris, FRANCE.
[Jung et al., 2015]
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Quantitative isolability analysis of different fault modes.
Daniel Jung, Erik Frisk, and Mattias Krysander (2015).
In: 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes Safeprocess'15. Paris, FRANCE.
[Khorasgani et al., 2015]
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Structural approach for distributed fault detection and isolation.
Hamed Khorasgani, Daniel Jung, and Gautam Biswas (2015).
In: 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes Safeprocess'15. Paris, FRANCE.
2014
[Khorasgani et al., 2014]
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Robust residual selection for fault detection.
Hamed Khorasgani, Daniel Eriksson, Gautam Biswas, Erik Frisk, and Mattias Krysander (2014).
In: Proceedings of 53rd IEEE Conference on Decision and Control. Los Angeles, USA.
[Khorasgani et al., 2014]
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Off-line robust residual selection using sensitivity analysis.
Hamed Khorasgani, Daniel Eriksson, Gautam Biswas, Erik Frisk, and Mattias Krysander (2014).
In: 25th International Workshop on Principles of Diagnosis (DX-14). Graz, Austria.
[Eriksson and Sundström, 2014]
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Sequential residual generator selection for fault detection.
Daniel Eriksson, and Christofer Sundström (2014).
In: Proceedings of 13th European Control Conference (ECC2014). Strasbourg, France.
2013
[Eriksson et al., 2013]
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Flywheel angular velocity model for misfire and driveline disturbance simulation.
Daniel Eriksson, Lars Eriksson, Erik Frisk, and Mattias Krysander (2013).
In: 7th IFAC Symposium on Advances in Automotive Control. Tokyo, Japan.
2012
[Eriksson et al., 2012]
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A sequential test selection algorithm for fault isolation.
Daniel Eriksson, Erik Frisk, and Mattias Krysander (2012).
In: 10th European Workshop on Advanced Control and Diagnosis. Copenhagen, Denmark.
[Eriksson et al., 2012]
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Using quantitative diagnosability analysis for optimal sensor placement.
Daniel Eriksson, Mattias Krysander, and Erik Frisk (2012).
Proceedings of IFAC Safe Process 2012. Mexico city, Mexico.
2011
[Eriksson et al., 2011]
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Quantitative Stochastic Fault Diagnosability Analysis.
Daniel Eriksson, Mattias Krysander, and Erik Frisk (2011).
In: 50th IEEE Conference on Decision and Control. Orlando, Florida, USA.
[Eriksson et al., 2011]
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Quantitative Fault Diagnosability Performance of Linear Dynamic Descriptor Models.
Daniel Eriksson, Mattias Krysander, and Erik Frisk (2011).
22nd International Workshop on Principles of Diagnosis (DX-11). Murnau, Germany.
2010
[Almqvist et al., 2010]
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Solving the ADAPT Benchmark Problem - A Student Project Study.
Erik Almqvist, Daniel Eriksson, Andreas Lundberg, Emil Nilsson, Niklas Wahlström, Erik Frisk, and Mattias Krysander (2010).
21st International Workshop on Principles of Diagnosis (DX-10). Portland, Oregon, USA.


Doctoral Thesis

2015
[Jung, 2015]
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Diagnosability performance analysis of models and fault detectors.
Daniel Jung (2015).
PhD thesis, Linköping University.


Licentiate Thesis

2013
[Eriksson, 2013]
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Diagnosability analysis and FDI system design for uncertain systems.
Daniel Eriksson (2013).
Lic thesis, Linköping University. LiU-TEK-LIC-2013:18, Thesis No. 1584.


Departmental Reports

2013
[Daniel Eriksson, Lars Eriksson, Erik Frisk and Krysander, 2013]
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Analysis and optimization with the Kullback-Leibler divergence for misfire detection using estimated torque.
Daniel Eriksson, Lars Eriksson, Erik Frisk, and Mattias Krysander (2013).
Technical Report Nr. LiTH-R-3057. Department of Electrical Engineering, Linköpings Universitet, SE-581 83 Linköping, Sweden.
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Huvudmeny

Kontaktinformation

Daniel Jung
Assistant Professor

Fordonssystem
Institutionen för Systemteknik
Linköpings Universitet
S-581 83 Linköping

Telefon: +46 (0)13 - 28 5743
E-mail: daner@isy.liu.se
Fax: +46 (0)13 - 28 2035

Kontor: B-huset, entré-plan, rum 2E:475


Informationsansvarig: Daniel Jung
Senast uppdaterad: 2021-05-31