Prof. Dr.-Ing. Andreas Schwung

Veröffentlichungen / Publications

2020

D. Schwung, A. Schwung, S.X. Ding: „Self Optimization of Modular Production Units: A state-based potential game approach“; in IEEE Transactions on Cybernetics, accepted for publication, 2020

G.S. Chadha, A. Panambilly, A. Schwung, S.X. Ding: „Bidirectional Deep Recurrent Neural Networks for Process Fault Classification“; in ISA Transactions, accepted for publication, 2020

G.S. Chadha, N. Sakeib, A. Schwung: „Remaining Useful Lifetime Estimation with Sobolev Training“; in Proc. of the International Conference on Emergent Technologies and Factory Automation, Vienna, Austria, 2020

F. Westbrink, A. Schwung, S.X. Ding: „How to get a Parcel surfing”; in Proc. of the International Conference on Advanced Intelligent Mechatronics, Boston, USA, 2020

D. Schwung, J.N. Reimann, A. Schwung, S.X. Ding: „Smart Manufacturing Systems: A game theory-based approach“; in R. Goncalves, V. Sgurev, V. Jotsov, J. Kacprzyk (Eds.) Intelligent Systems: Theory, Research and Innovation in Applications, Springer, 2020

F. Arevalo, D. Sunaringtyas, C. Tito, A. Schwung: „Interactive Visual Procedure using an extended FMEA and Mixed-Reality “; in Proc. of the International Conference on Industrial Technology, Buenos Aires, Argentina, 2020

2019

D. Schwung, A. Schwung, S. X. Ding: „Actor-critic reinforcement learning for energy optimization in hybrid production environments“; in International Journal of Computing, 18(4), S. 360-371, 2019

G.S. Chadha, M. Krishnamoorthy, A. Schwung: „ Time Series based Fault Detection in Industrial Processes using Convolutional Neural Networks”; Proc. of the IEEE 45th Annual Conference of the Industrial Electronics Society (IECON 2019), Lisbon, Portugal, 2019

D. Schwung, M. Modali, A. Schwung: „Self Optimization in Smart Production Systems using Distributed Reinforcement Learning”; Proc. of the International Conference on Systems, Man, and Cybernetics (SMC 2019), Bari, Italy, 2019

D. Schwung, J.N. Reimann, A. Schwung, S.X. Ding: „Potential Game based Distributed Optimization of Modular Production Units“; Proc. of the International Conference on Industrial Informatics (INDIN 2019), Helsinki, Finland, 2019

A. Schwung, D. Schwung, M.S. Abdul Hameed: „ Cooperative Robot Control in Flexible Manufacturing Cells: Centralized vs. Distributed Approaches“; Proc. of the International Conference on Industrial Informatics (INDIN 2019), Helsinki, Finland, 2019

F. Arevalo, C. Tito, M.R. Diprasetya, A. Schwung: „Fault Detection Assessment using an extended FMEA and a Rule-based Expert System”; Proc. of the International Conference on Industrial Informatics (INDIN 2019), Helsinki, Finland, 2019

G.S. Chadha, A. Rabbani, A. Schwung: „Comparison of Semi-supervised Deep Neural Networks for Anomaly Detection in Industrial Processes”; Proc. of the International Conference on Industrial Informatics (INDIN 2019), Helsinki, Finland, 2019

F. Westbrink, A. Elbel, A. Schwung: „ Development of an automated mobile DEM calibration unit”; Proc. of the 8th International Conference on Discrete Element Methods (DEM8), Enschede, The Netherlands, 2019

F. Westbrink, R. Sivanandan, T. Schütte, A. Schwung: „Design approach and simulation of a peristaltic sortation machine”; Proc. of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2019), Hong-Kong, China, 2019

G.S. Chadha, E. Meydani, A.Schwung: „Regularizing Neural Networks with Gradient Monitoring“; Proc. of the 2019 INNS Big Data and Deep Learning Conference (INNSBDDL 2019), Genoa, Italy, 2019

P. Rehlaender, M. Schröer, P. Kemper, A. Schwung: „Traffic Sign Detection using R-CNN“; Proc. of the 2019 INNS Big Data and Deep Learning Conference (INNSBDDL 2019), Genoa, Italy, 2019

2018

D. Schwung, A. Schwung, S.X. Ding: „On-line Energy Optimization of Hybrid Production Systems using Actor-Critic Reinforcement Learning“; Proc. of the 9th International Conference on Intelligent Systems, Funchal, Portugal, 2018

D. Schwung, J. N. Reimann, A. Schwung, S.X. Ding: „Self Learning in Flexible Manufacturing Units: A Reinforcement Learning Approach“; Proc. of the 9th International Conference on Intelligent Systems, Funchal, Portugal, 2018

F. Arevalo, J. Rementeria, A. Schwung: „Fault Detection Assessment Architectures based on Classification Methods and Information Fusion“; Proc. of the 23rd International Conference on Emergent Technologies and Factory Automation (ETFA 2018), Turin, Italy, 2018

F. Arevalo, M. Rizky, A. Schwung: „A Cloud-based Architecture for Condition Monitoring based on Machine Learning“; Proc. of the 16th International Conference on Industrial Informatics (INDIN 2018), Porto, Portugal, 2018

F. Westbrink, A. Schwung: „Virtual Commissioning Approach based on the Discrete Element Method“; Proc. of the 16th International Conference on Industrial Informatics (INDIN 2018), Porto, Portugal, 2018

F. Arevalo, E. Oestanto, A. Schwung: „Development of a Mobile App for the Fault Detection Assessment on a Bulk Good System in the Framework of the CoreSys Project“; Proc. of the 16th International Conference on Industrial Informatics (INDIN 2018), Porto, Portugal, 2018

P. Rehlaender, P. Kemper, A. Schwung, U. Witkowski: „Control of a Fuel Cell Vehicle Thermal Management System”; Proc. of the 5th IEEE International Energy Conference (Energycon 2018), Limassol, Cyprus, 2018

P. Rehlaender, P. Kemper, A. Schwung, U. Witkowski: „Modeling of a Fuel Cell Vehicle Thermal Management System”; Proc. of the 5th IEEE International Energy Conference (Energycon 2018), Limassol, Cyprus, 2018

F. Westbrink, G. Chadha, A. Schwung: „Integrated IPC for data-driven machine
monitoring and fault detection“; Proc. of the 1st international Conference on Cyber
Physical Systems (ICPS 2018), Saint Petersburg, Russia, 2018

G. Chadha, F. Westbrink, T. Schütte, A. Schwung: „Optimal Dosing of bulk good
material using mass-flow estimation and DEM simulation“; Proc. of the 19th international
Conference on Industrial Technology (ICIT 2018), Lyon, France, 2018

2017:

P. Kemper, P. Rehlaender, U. Witkowski, A. Schwung: „Competitive Evaluation of Energy
Management Strategies for Hybrid Electric Vehicle based on Real World Driving“; Proc. of
the European Modelling Symposium (EMS2017), Manchester, UK, 2017

P. Rehlaender, P. Kemper, M. Schröer, U. Witkowski, A. Schwung: „A Novel Predictive
Energy Management System“; Proc. of the European Modelling Symposium (EMS2017),
Manchester, UK, 2017

D. Aufderheide, M.Rodriguez, A.Schwung, L. DiMatteo: „Automatisierte Abnahmen gravimetrischer Dosiersysteme“, atp edition, vol. 59, no. 07-08, pp. 24-33, 2017

G. Chadha, A. Schwung: „Comparison of Deep Neural Network methods for fault diagnosis of tennessee eastman process“, Proc. of the 22nd IEEE International Conference on Emerging Technologies And Factory Automation (ETFA2017), Limassol, Cyprus, 2017

F. Arevalo, A. Schwung: „Assistance System for a Bulk Good System based on Information Fusion“, Proc. of the 22nd IEEE International Conference on Emerging Technologies And Factory Automation (ETFA2017), Limassol, Cyprus, 2017

F. Westbrink, A. Schwung: “Improved approximation of arbitrary shapes in DEM simulations with multi-spheres”, Proc. of the 14th International Conference on Computational Plasticity (COMPLAS2017), Barcelona, Spain, 2017

F. Arevalo, A. Schwung: „Fault Detection using Probabilistic Prediction and Data Fusion on a Bulk Good System“, Proc. of the 52nd International Universities' Power Engineering Conference, Heraklion, Greece, 2017

A. Schwung, A. Elbel, D. Schwung: „System reconfiguration of modular production units using a SOA-based control structure“, Proc. of the 15th International Conference on Industrial Informatics (INDIN 2017), Emden, Germany, 2017

D. Schwung, T. Kempe, A. Schwung, S. Ding: „Self-optimization of energy consumption in complex bulk good processes using reinforcement learning“, Proc. of the 15th International Conference on Industrial Informatics (INDIN 2017), Emden, Germany, 2017

D. Schwung, F. Csaplar, A. Schwung, S. Ding: „An Application of Reinforcement Learning Algorithms to Industrial Multi-Robot Stations for cooperative handling operation“, Proc. of the 15th International Conference on Industrial Informatics (INDIN 2017), Emden, Germany, 2017

D. Aufderheide, M.Rodriguez, L. DiMatteo, A.Schwung: „Automatisierte Durchführung von Abnahmen gravimetrischer Dosiersysteme auf Basis von Hardware-in-the-Loop Simulation und Verifikation“, Proc. of Automation 2017, Baden-Baden, Germany, 2017

S. Dominic, Y. Löhr, A. Schwung, S.X. Ding:„PLC-based Real-time Realization of Flatness-Based Feedforward Control for Industrial Compression Systems", in IEEE Transactions on Industrial Electronics, 64(2), S. 1323-1331, 2017

2015:

A. Schwung, M. Beck, J. Adamy: „Fault diagnosis of dynamical systems using recurrent fuzzy systems with application to an electrohydraulic servo axis“, in Fuzzy Sets and Systems, 277, pp. 138 -153, 2015

A. Schwung: „Cyber-Physical Modeling of Compression Systems using Hybrid Automata“, Proc. of the 11th IEEE International Conference on Automation Science and Engineering, Gothenburg, Sweden, pp. 1125 -1130, 2015

2014:

S. Osmic, O. Berner, A. Schwung, M. Jost, M. Mönnigmann: „Flatness-Based Feedforward
Control for fast Operating Point Transitions of Compressor Systems“, Proc. of the 2014 IEEE Conference on Control Applications (CCA), Antibes, France, pp. 1753–1758, 2014

A. Schwung, P. Berner, S. Osmic, M. Jost and M. Mönnigmann: “Nonlinear decoupling control of compressor systems for fast load transients in combined cycle power plants,” Proc. of the 2014 IEEE Conference on Control Applications (CCA), Antibes, France, pp. 27–32, 2014

2013:

S. Gering, A. Schwung, T. Gußner, J. Adamy: „Sum of Squares Approaches for Control of Continuous-Time Recurrent Fuzzy Systems“, in Proceedings of the IEEE Mediterranian Conference on Control and Automation, Platanias-Chania, Greece, pp. 271-277, 2013

2012:

A. Schwung, J. Adamy: „Modeling with discrete-time recurrent fuzzy systems via mixed integer
optimization“, in Fuzzy Sets and Systems, 203, pp. 1-16, 2012

2011:

A. Schwung, T. Gußner, J. Adamy: „Stability Analysis of Recurrent Fuzzy Systems: A Hybrid
System and SOS approach“, in IEEE Transactions on Fuzzy Systems, 19(3), S. 423-431, 2011

M. Beck, A. Schwung, M. Münchhof, R. Isermann: „Fault-tolerant control of an electrohydraulic servo axis with a duplex valve system“, in Proceedings of the 18th IFAC World Congress, Milan, Italy, 2011

2010:

J. Adamy, A. Schwung: „Qualitative modeling of dynamical systems employing continuoustime
recurrent fuzzy systems”, in Fuzzy Sets and Systems, 116(23), pp. 3026-3043, 2010.

A. Schwung, A. Ortseifen, J. Adamy: „Anwendung zeitdiskreter rekurrenter Fuzzy-Systeme
zur Fehlerdiagnose”, in at-Automatisierungstechnik, 58(6), S. 322-331, 2010.

M. Beck, M. Münchhof, A. Schwung, R. Isermann: „Fehlertolerante elektrohydraulische Servoachse mit Duplex-Ventilsystem”, in Proceedings of Automation 2010, Baden-Baden, Germany, 2010

A. Schwung, J. Adamy: „Nonlinear System Modeling via Hybrid System Representation of Recurrent Fuzzy Systems”, in Proceedings of the IEEE International Conference on Fuzzy Systems, Barcelona, Spain, 2010

M. Beck, A. Schwung, M. Münchhof, R. Isermann: „Active fault tolerant control of an electrohydraulic servo axis with a duplex-valve-system, in Proceedings of the 5th IFAC Symposium on Mechatronic Systems, Cambridge, USA, 2010

2009:

J. Adamy, A. Schwung: „Modellierung dynamischer Systeme mit zeitkontinuierlichen Fuzzy-Systemen”, in at-Automatisierungstechnik, 57(3), S. 129-137, 2009

A. Schwung, T. Gußner, J. Adamy: „Stability Analysis of Continuous-Time Recurrent Fuzzy Systems”, in Proceedings of the IEEE International Conference on Fuzzy Systems, Jeju, Korea, 2009

2008:

S. Kern, A. Schwung, R. Nordmann: „Gain-Scheduling Approaches for Active Damping of a Milling Spindle with Speed-Dependent Dynamics”, in Proceedings of the 9th International Conference on Motion and Vibration Control MOVIC, München, 2008