Stefan Byttner
Stefan Byttner, Associate Professor, PhD
Family Name: Byttner
Given Name: Stefan
Role: Associate Professor
Title: PhD
Subject: Information Technology
Email: Stefan.Byttner@hh.se
url:
Phone: +46-35-167792
Cell Phone:
Courses:
Teaching: Data Mining (7.5 credits) Cooperating Intelligent Systems (7.5 credits), Advanced Sensor Systems (7.5 credits), Digital Control (7.5 credits)
Subject areas: Learning Systems
Application areas: Intelligent Vehicles
Projects: ReDi2Service, InnoMerge
Journal publications registered in DiVA
Shiraz Farouq, Stefan Byttner, Mohamed-Rafik Bouguelia, Natasa Nord, Henrik Gadd (2020). Large-scale monitoring of operationally diverse district heating substations : A reference-group based approach. Engineering applications of artificial intelligence.
Ece Calikus, Sławomir Nowaczyk, Anita Sant'Anna, Stefan Byttner (2018). Ranking Abnormal Substations by Power Signature Dispersion. Energy Procedia. 149, pp. 345-353
Thorsteinn Rögnvaldsson, Sławomir Nowaczyk, Stefan Byttner, Rune Prytz, Magnus Svensson (2018). Self-monitoring for maintenance of vehicle fleets. Data mining and knowledge discovery. 32(2), pp. 344-384
Mohamed-Rafik Bouguelia, Ramon Gonzalez, Karl Iagnemma, Stefan Byttner (2017). Unsupervised classification of slip events for planetary exploration rovers. Journal of terramechanics. 73C, pp. 95-106
Rune Prytz, Sławomir Nowaczyk, Thorsteinn Rögnvaldsson, Stefan Byttner (2015). Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data. Engineering applications of artificial intelligence. 41, pp. 139-150
Thorsteinn Rögnvaldsson, Stefan Byttner, Rune Prytz, Sławomir Nowaczyk, Magnus Svensson (2015). Wisdom of Crowds for Intelligent Monitoring of Vehicle Fleets.
Gancho Vachkov, Stefan Byttner, Magnus Svensson (2014). Detection of Deviation in Performance of Battery Cells by Data Compression and Similarity Analysis. International Journal of Intelligent Systems. 29(3), pp. 207-222
Stefan Byttner, Thorsteinn Rögnvaldsson, Magnus Svensson (2011). Consensus self-organized models for fault detection (COSMO). Engineering applications of artificial intelligence. 24(5), pp. 833-839
Magnus Svensson, Stefan Byttner, Thorsteinn Rögnvaldsson (2009). Vehicle Diagnostics Method by Anomaly Detection and Fault Identification Software. SAE international journal of passenger cars : electronic and electrical systems. 2(1), pp. 352-358
Nicholas Wickström, Stefan Byttner, Ulf Holmberg (2005). Robust tuning of Individual Cylinders AFR in SI Engines with the Ion Current. SAE Transactions. 114(03), pp. 48-52
Conference publications registered in DiVA
Shiraz Farouq, Stefan Byttner, Henrik Gadd (2018). Towards understanding district heating substation behavior using robust first difference regression. 16th International Symposium on District Heating and Cooling, DHC 2018, 9-12 September, 2018.
Shiraz Farouq, Stefan Byttner, Mohamed-Rafik Bouguelia (2018). On monitoring heat-pumps with a group-based conformal anomaly detection approach. 2018 Internal Conference on Data Science (ICDATA’18), Las Vegas, NV, USA.
Simon Thelin, Oskar Svensson, Stefan Byttner, Yuantao Fan (2017). Indirect Tire Monitoring System - Machine Learning Approach. CAR 2017 - The International Congress of Automotive and Transport Engineering.
Ramon Gonzalez, Stefan Byttner, Karl Iagnemma (2016). Comparison of Machine Learning Approaches for Soil Embedding Detection of Planetary Exploration Rovers. International Conference of the ISTVS (International Society for Terrain-Vehicle Systems), Detroit, Michigan, USA, 12-14 September, 2016.
Tove Helldin, Maria Riveiro, Sepideh Pashami, Göran Falkman, Stefan Byttner, Sławomir Nowaczyk (2016). Supporting Analytical Reasoning : A Study from the Automotive Industry. 18th International Conference, HCI International 2016, Toronto, Canada, July 17-22, 2016.
Matej Uličný, Jens Lundström, Stefan Byttner (2016). Robustness of Deep Convolutional Neural Networks for Image Recognition. First International Symposium, ISICS 2016, Mérida, México, March 16-18 2016.
Thorsteinn Rögnvaldsson, Henrik Norrman, Stefan Byttner, Eric Järpe (2014). Estimating p-Values for Deviation Detection. SASO 2014 - Eighth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, Imperial College, London, United Kingdom, September 8-12, 2014.
Rune Prytz, Sławomir Nowaczyk, Thorsteinn Rögnvaldsson, Stefan Byttner (2013). Analysis of Truck Compressor Failures Based on Logged Vehicle Data. 9th International Conference on Data Mining, Las Vegas, Nevada, USA, July 22–25, 2013.
Stefan Byttner, Sławomir Nowaczyk, Rune Prytz, Thorsteinn Rögnvaldsson (2013). A field test with self-organized modeling for knowledge discovery in a fleet of city buses. 10th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013, Takamastu, Japan, 4-7 August, 2013.
Sławomir Nowaczyk, Rune Prytz, Thorsteinn Rögnvaldsson, Stefan Byttner (2013). Towards a Machine Learning Algorithm for Predicting Truck Compressor Failures Using Logged Vehicle Data. 12th Scandinavian Conference on Artificial Intelligence, Aalborg, Denmark, November 20–22, 2013.
Sławomir Nowaczyk, Stefan Byttner, Rune Prytz (2012). Ideas for Fault Detection Using Relation Discovery. The 27th annual workshop of the Swedish Artificial Intelligence Society (SAIS), 14–15 May 2012, Örebro, Sweden.
Gancho Vachkov, Stefan Byttner, Magnus Svensson (2012). Battery Aging Detection Based on Sequential Clustering and Similarity Analysis. 6th IEEE International Conference Intelligent Systems, IS 2012, Sofia, Bulgaria, 6-8 September, 2012.
Gancho Vachkov, Stefan Byttner, Magnus Svensson (2012). Battery aging detection based on sequential clustering and similarity analysis. 6th IEEE International Conference Intelligent Systems, IS 2012, Sofia, Bulgaria, 6-8 September 2012, Category number: CFP12802-PRT, Code: 94030.
Nadezda Karginova, Stefan Byttner, Magnus Svensson (2012). Data-driven methods for classification of driving styles in buses. SAE 2012 World Congress & Exhibition, Cobo Center, Detroit, Michigan, USA, April 24-26, 2012.
Ahmed Mosallam, Stefan Byttner, Magnus Svensson, Thorsteinn Rögnvaldsson (2011). Nonlinear relation mining for maintenance prediction. IEEE Aerospace conference 2011, 5-12 march.
Stefan Byttner, Magnus Svensson, Gancho Vachkov (2011). Incremental classification of process data for anomaly detection based on similarity analysis. Symposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE 5th Workshop on Evolving and Adaptive Intelligent Systems, EAIS 2011, Paris, France, 11 - 15 April 2011, Category number CFP1114N-ART, Code85920.
Rune Prytz, Sławomir Nowaczyk, Stefan Byttner (2011). Towards relation discovery for diagnostics. 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Magnus Svensson, Thorsteinn Rögnvaldsson, Stefan Byttner, Martin West, Björn Andersson (2011). Unsupervised deviation detection by GMM - A simulation study. 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2011, Bologna, Italy, 5-8 September, 2011.
Stefan Byttner, Thorsteinn Rögnvaldsson, Magnus Svensson (2010). Finding the odd-one-out in fleets of mechatronic systems using embedded intelligent agents. 2010 AAAI Spring Symposium, Stanford University, Stanford, CA, United States, 22 - 24 March 2010, Code 81902.
Magnus Svensson, Magnus Forsberg, Stefan Byttner, Thorsteinn Rögnvaldsson (2009). Deviation Detection by Self-Organized On-Line Models Simulated on a Feed-Back Controlled DC-Motor. Intelligent Systems and Control 2009, Cambridge, Mass., USA, Nov. 2-4, 2009.
Stefan Byttner, Thorsteinn Rögnvaldsson, Magnus Svensson, George Bitar, Wesley Chominsky (2009). Networked vehicles for automated fault detection. 2009 International Symposium on Circuits and Systems, May 24-27, Taipei, Taiwan.
Stefan Byttner, Thorsteinn Rögnvaldsson, Magnus Svensson (2008). Self-organized Modeling for Vehicle Fleet Based Fault Detection. SAE World Congress & Exhibition, April 2008, Detroit, Michigan, United States.
Thorsteinn Rögnvaldsson, Georg Panholzer, Stefan Byttner, Magnus Svensson (2008). A self-organized approach for unsupervised fault detection in multiple systems. 19th International Conference on Pattern Recognition (ICPR 2008),Tampa, FL, DEC 08-11, 2008.
Magnus Svensson, Stefan Byttner, Thorsteinn Rögnvaldsson (2008). Self-organizing maps for automatic fault detection in a vehicle cooling system. 4th international IEEE conference on Intelligent systems, Varna, Bulgaria, September 6-8, 2008.
Stefan Byttner, Ulf Holmberg (2008). Closed-loop control of EGR using ion currents. 27th IASTED International Conference on Modelling, Identification, and Control, 11-13 February, 2008, Innsbruck, Austria.
Stefan Byttner, Thorsteinn Rögnvaldsson, Magnus Svensson (2007). Modeling for Vehicle Fleet Remote Diagnostics. SAE 2007 Commercial Vehicle Engineering Congress & Exhibition, October 2007, Rosemont, IL, USA.
Stefan Byttner, Thorsteinn Rögnvaldsson, Magnus Svensson (2007). Modelling for Vehicle Fleet Remote Diagnostics. SAE 2007 Commercial Vehicle Engineering Congress & Exhibition, October 2007, Rosemont, IL, USA.
Stefan Byttner, Ulf Holmberg, Nicholas Wickström (2005). Using Multiple Cylinder Ion Measurements for Improved Estimation of Combustion Variability. SAE 2005 World Congress & Exhibition, April 2005, Detroit, Michigan, United States.
Stefan Byttner, Ulf Holmberg, Nicholas Wickström (2004). An ion current algorithm for fast determination of high combustion variability. SAE World Congress, Detroit, MI, USA, March 8-11, 2004.
Stefan Byttner, Ulf Holmberg, Nicholas Wickström (2004). An Ion Current Algorithm for Fast Determination of High Combustion Variability. SAE World Congress (2004 : Detroit).
Stefan Byttner, Ulf Holmberg (2003). Ion Current Based Control of Combustion Variability. Mekatronikmötet 2003, Chalmers, Göteborg, Sweden, 27-28 Aug., 2003.
Stefan Byttner, Thorsteinn Rögnvaldsson, Nicholas Wickström (2001). Strategies for Handling the Fuel Additive Problem in Neural Network Based Ion Current Interpretation. SAE 2001 World Congress, March 2001, Detroit, MI, USA, Session: Electronic Engine Controls (Part C&D).
Stefan Byttner, Thorsteinn Rögnvaldsson, Nicholas Wickström (2001). Strategies for handling the fuel additive problem in neural network based ion current interpretation. SAE 2001 World Congress, Session: Electronic Engine Controls (Part C&D), Detroit, MI, USA, 5-8 March, 2001.
Stefan Byttner, Thorsteinn Rögnvaldsson, Nicholas Wickström (2001). Estimation of Combustion Variability Using In-Cylinder Ionization Measurements. SAE International Fall Fuels & Lubricants Meeting & Exhibition, September 2001, San Antonio, TX, USA, Session: Experimental Investigation of SI Engines (Part A&B).
Stefan Byttner, Thorsteinn Rögnvaldsson, Nicholas Wickström (2001). Estimation of combustion variability using in-cylinder ionization measurements. SAE International Fall Fuels & Lubricants Meeting & Exhibition, Session: Experimental Investigation of SI Engines (Part A&B), San Antonio, TX, USA, September 24-27, 2001.
Daniel Blomqvist, Stefan Byttner, Thorsteinn Rögnvaldsson, Ulf Holmberg (2000). Different Strategies for Transient Control of the Air-Fuel Ratio in a SI Engine. International Fuels & Lubricants Meeting & Exposition, October 2000, Baltimore, MD, USA, Session: Combustion and Emissions Formation in SI Engines (Part A&B).
