Veröffentlichungen

2020

Roche, Jan-Philipp; Friebe, Jens; Niggemann, Oliver: Machine Learning for Grey Box Modeling of Electric Components for Circuit- and EMC-Simulation, PCIM Europe Conference, 2020.

Niggemann, O., Biswas, G., Kinnebrew, J., Bunte, A., Hranisavljevic, N.: Handbuch Industrie 4.0 – Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion, Springer Verlag, 2020

Bunte, Andreas; Li, Peng Li; Niggemann: Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems, Machine Learning for Cyber Physical Systems – Selected papers from the International Conference ML4CPS, DOI: 10.1007/978-3-662-59084-3_6, Springer Vieweg, January 2020

Diedrich, Alexander; Balzereit, Kaja; Niggemann, Oliver: First Approaches to Automatically Diagnose and Reconfigure Hybrid Cyber-Physical Systems, Machine Learning for Cyber Physical Systems – Selected papers from the International Conference ML4CPS, Springer Vieweg, January 2020

Voß, Carlo; Eiteneuer, Benedikt;  Niggemann, Oliver: Incorporating Uncertainty into Unsupervised Machine Learning for Cyber-Physical Systems, 3rd IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), Tampere, Finland, June 2020

Balzereit, Kaja; Niggemann, Oliver: Automated Reconfiguration of Cyber-Physical Production Systems using Satisfiability Modulo Theories, 3rd IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), Tampere, Finland, June 2020

Li, Peng; Niggemann, Oliver: A Non-Convex Archetypal Analysis for One-class Classification based Anomaly Detection in Cyber-Physical Systems, IEEE Transactions on Industrial Informatics PP(99):1-1, DOI: 10.1109/TII.2020.3009106, July 2020

Hranisavljevic, Nemanja; Maier, Alexander; Niggemann, Oliver: Discretization of hybrid CPPS data into timed automaton using restricted Boltzmann machines, Engineering Applications of Artificial Intelligence 95:103826, DOI: 10.1016/j.engappai.2020.103826, August 2020

 

2019

Li, Peng; Niggemann, Oliver: Non-convex hull based anomaly detection in CPPS, Elsevier Engineering Applications of Artificial Intelligence 87, October 2019

Balzereit, Kaja; Niggemann, Oliver Niggemann: Automated Reconfiguration of Cyber-Physical Production Systems using Satisfiability Modulo Theories, 30th International Workshop on Principles of Diagnosis (DX-19) November 2019

Bunte, Andreas; Wunderlich, Paul; Moriz, Natalia; Li, Peng; Mankowski, André, Rogalla, Antje; Niggemann, Oliver: Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS, IEEE Emerging Technologies and Factory Automation (ETFA), September 2019.

Bunte, Andreas; Fischbach, Andreas; Strohschein, Jan; Bartz-Beielstein, Thomas; Faeskorn-Woyke, Heide; Niggemann Oliver: Evaluation of Cognitive Architectures for Cyber-Physical Production Systems, 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Sept. 2019.

Zhang, Fan; Pinkal, Kevin; Wefing, Patrick; Conradi, Florian; Schneider, Jan; Niggemann, Oliver: Quality Control of Continuous Wort Production through Production Data Analysis in Latent Space. In: 20th IEEE International Conference on Industrial Technology (ICIT), Melbourne, Australia, Feb 2019.

Eiteneuer, Benedikt; Hranisavljevic, Nemanja; Niggemann, Oliver: Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder. In: 20th IEEE International Conference on Industrial Technology (ICIT), Melbourne, Australien, Feb 2019.

Li, Peng; Niggemann, Oliver; Hammer, Barbara: On the Identification of Decision Boundaries for Anomaly Detection in CPPS. In: 20th IEEE International Conference on Industrial Technology (ICIT 2019) Melbourne, Australia, Feb 2019.

Diedrich, Alexander; Niggemann, Oliver: Model-based Diagnosis of Hybrid Systems using Satisfiability Modulo Theory. Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Hawaii, USA, Jan 2019.

Bunte, Andreas; Stein, Benno; Niggemann, Oliver: Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Hawaii, USA, Jan 2019.

Windmann, S., Balzereit, K. & Niggemann, O: Model-based routing in flexible manufacturing systems. at – Automatisierungstechnik, 67(2), 2019

Balzereit, Kaja; Maier, Alexander;  Björn, Barig, Niggemann, Oliver: Data-driven Identification of Causal Dependencies in Cyber-Physical Production Systems, 11th International Conference on Agents and Artificial Intelligence, Prague, Czech Republic, February 2019

2018

Li, Peng; Niggemann, Oliver; Hammer, Barbara: A Geometric Approach to Clustering Based Anomaly Detection for Industrial Applications. In: 44th Annual Conference of the IEEE Industrial Electronics Society (IECON) Oct 2018.

Li, Peng; Niggemann, Oliver: A Data Provenance based Architecture to Enhance the Reliability of Data Analysis for Industry 4.0. In: 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Sep 2018.

Rogalla, Antje; Fay, Alexander; Niggemann, Oliver: Improved Domain Modeling for Realistic Automated Planning and Scheduling in Discrete Manufacturing. In: 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Sep 2018.

Bunte, Andreas; Niggemann, Oliver; Stein, Benno: Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA. In: 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Sep 2018.

Wunderlich, Paul; Niggemann, Oliver: Inference Methods for Detecting the Root Cause of Alarm Floods in Causal Models. In: 23rd International Conference on Methods and Models in Automation and Robotics (MMAR) Międzyzdroje, Poland, Aug 2018.

Eiteneuer, Benedikt; Niggemann, Oliver: LSTM for model-based Anomaly Detection in Cyber-Physical Systems. In: Proceedings of the 29th International Workshop on Principles of Diagnosis Warsaw, Poland, Aug 2018.

von Birgelen, Alexander; Niggemann, Oliver: Enable learning of Hybrid Timed Automata in Absence of Discrete Events through Self-Organizing Maps. S.: 37-54, Springer Vieweg, Aug 2018.

von Birgelen, Alexander; Niggemann, Oliver: Anomaly Detection and Localization for Cyber-Physical Production Systems with Self-Organizing Maps. S.: 55-71, Springer Vieweg, Aug 2018.

Wunderlich, Paul; Niggemann, Oliver: Concept for Alarm Flood Reduction with Bayesian Networks by Identifying the Root Cause. In: IMPROVE – Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency: Intelligent Methods for the Factory of the Future S.: 111-129, Springer Vieweg, Aug 2018.

Windmann, Stefan; Niggemann, Oliver: A Sampling-Based Method for Robust and Efficient Fault Detection in Industrial Automation Processes. Springer Vieweg, Aug 2018.

Fullen, Marta; Schüller, Peter; Niggemann, Oliver: Validation of similarity measures for industrial alarm flood analysis. Springer Vieweg, Aug 2018.

Niggemann, Oliver; Schüller, Peter: IMPROVE – Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency. Springer Vieweg, Aug 2018.

Wunderlich, Paul; Niggemann, Oliver: Challenges in Learning Causal Models of Alarms in Industrial Plants. In: 16th IEEE International Conference on Industrial Informatics (INDIN) Porto, Portugal, Jul 2018.

Specht, Felix; Otto, Jens; Niggemann, Oliver; Hammer, Barbara: Generation of Adversarial Examples to Prevent Misclassification of Deep Neural Network based Condition Monitoring Systems for Cyber-Physical Production Systems. In: IEEE 16th International Conference on Industrial Informatics (INDIN) Jul 2018.

Lang, Dorota; Wunderlich, Paul; Heinz, Mario; Wisniewski, Lukasz; Jasperneite, Jürgen; Niggemann, Oliver; Röcker, Carsten: Assistance System to Support Troubleshooting of Complex Industrial Systems. In: 14th IEEE International Workshop on Factory Communication Systems (WFCS) Imperia (Italy), Jun 2018.

von Birgelen, Alexander; Buratti, Davide; Mager, Jens; Niggemann, Oliver: Self-Organizing Maps for Anomaly Localization and Predictive Maintenance in Cyber-Physical Production Systems. In: 51st CIRP Conference on Manufacturing Systems (CIRP CMS 2018) CIRP-CMS, May 2018.

Conradi, Florian; Wefing, Patrick; Pinkal, Kevin; Zhang, Fan; Niggemann, Oliver; Schneider, Jan: Inline progress measurement of the ß-amylase rest in the mashing process employing a near infrared transflectance probe. In: Trends in Brewing, Gent Apr 2018.

Wefing, Patrick; Conradi, Florian; Fuchs, Lukas; Schoppmeier, Jan; Pinkal, Kevin; Niggemann, Oliver; Schneider, Jan: Laboratory Plant for a closed loop-controlled continuous (CLCC) Mashing. In: Trends in Brewing, Gent Apr 2018.

Windmann, Stefan; Niggemann, Oliver; Stichweh, Heiko: Computation of energy efficient driving speeds in conveying systems. In: at – Automatisierungstechnik Mar 2018.

Nisic, Tatjana; Conradi, Florian; Niggemann, Oliver; Pinkal, Kevin; Schneider, Jan; Wefing, Patrick; Zhang, Fan: Food meets IT: der Digitale Zwilling erobert die Lebensmittelindustrie. In: IM+io Mar 2018.

Otto, Jens; Vogel-Heuser, Birgit; Niggemann, Oliver: Automatic Parameter Estimation for Reusable Software Components of Modular and Reconfigurable Cyber Physical Production Systems in the Domain of Discrete Manufacturing. In: IEEE Transactions on Industrial Informatics IEEE, Jan 2018.

Bunte, Andreas; Li, Peng; Niggemann, Oliver: Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach. In: International Conference on Agents and Artificial Intelligence (ICAART) SCITEPRESS, Madeira, Portugal, Jan 2018.

 

2017

von Birgelen, Alexander; Niggemann, Oliver: Using Self-Organizing Maps to Learn Hybrid Timed Automata in Absence of Discrete Events. In: 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2017), Sep 2017.

Wunderlich, Paul; Niggemann, Oliver: Structure Learning Methods for Bayesian Networks to Reduce Alarm Floods by Identifying the Root Cause. In: 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2017), Sep 2017.

Rogalla, Antje; Niggemann, Oliver: Automated Process Planning for Cyber-Physical Production Systems. In: 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Sep 2017.

Pethig, Florian; Niggemann, Oliver; Walter, Armin: Towards Industrie 4.0 Compliant Configuration of Condition Monitoring Services. In: 15th IEEE International Conference on Industrial Informatics (INDIN 2017), Jul 2017.

Pinkal, Kevin; Niggemann, Oliver: A New Approach to Model-Based Test Case Generation for Industrial Automation Systems. In: 15th IEEE International Conference on Industrial Informatics (INDIN 2017), Jul 2017.

Fullen, Marta; Schüller, Peter; Niggemann, Oliver: Defining and validating similarity measures for industrial alarm flood analysis. In: 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), Jul 2017.

Bunte, Andreas; Li, Peng; Niggemann, Oliver: Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems. In: 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS), October 2017.

Windmann, Stefan; Lang, Dorota; Niggemann, Oliver: Learning Parallel Automata of PLCs. In: 22nd IEEE International Conference on Emerging Technologies And Factory Automation, September 2017.

Windmann, Stefan; Niggemann, Oliver: A Self-Configurable Fault Detection System for Industrial Ethernet Networks. In: at – Automatisierungstechnik at – Automatisierungstechnik, May 2017.

Diedrich, Christian; Niggemann, Oliver; Pethig, Florian; Kraft, Andreas; Bock, Jürgen; Gössling, Andreas; Hänisch, Rolf; Reich, Johannes; Vollmar, Friedrich; Wende, Jörg: Interaktionsmodell für Industrie 4.0 Komponenten. In:  At Automatisierungstechnik Jan 2017.

2016

Bunte, Andreas; Diedrich, Alexander; Niggemann, Oliver: Semantics Enable Standardized User Interfaces for Diagnosis in Modular Production Systems. In: International Workshop on the Principles of Diagnosis (DX) Denver, CO, USA, Oct 2016

Hranisavljevic, Nemanja; Niggemann, Oliver; Maier, Alexander: A Novel Anomaly Detection Algorithm for Hybrid Production Systems based on Deep Learning and Timed Automata. In: International Workshop on the Principles of Diagnosis (DX) Denver, Oct 2016

Diedrich, Alexander; Feldman, Alexander ; Perdomo-Ortiz, Alejandro ; Abreu, Rui ; Niggemann, Oliver; de Kleer, Johan: Applying Simulated Annealing to Problems in Model-based Diagnosis. In: International Workshop on the Principles of Diagnosis (DX) Denver, CO, USA, Oct 2016.

Bunte, Andreas; Diedrich, Alexander; Niggemann, Oliver: Integrating Semantics for Diagnosis of Manufacturing Systems. In: 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Berlin, Sep 2016.

Henning, Steffen; Niggemann, Oliver; Otto, Jens: Pattern-Based Control-Code Synthesis. In: 14th International IEEE Conference on Industrial Informatics (INDIN), Politiers (France) Jul 2016.

Bunte, Andreas; Diedrich, Alexander; Niggemann, Oliver: Integrating Semantics for Diagnosis of Manufacturing Systems. In: 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Berlin, Sep 2016.

Windmann, Stefan; Niggemann, Oliver: A GPU-Based Method for Robust and Efficient Fault Detection in Industrial Automation Processes. In: 14th International IEEE Conference on Industrial Informatics (INDIN), Poltiers (France), Jul 2016.

Li, Peng; Niggemann, Oliver: Improving Clustering Based Anomaly Detection with Concave Hull: An Application in Condition Monitoring of Wind Turbines. In: 14th IEEE International Conference on Industrial Informatics (INDIN 2016), Poltiers (France) Jul 2016.

Niggemann, Oliver; Biswas, Gautam; Khorasgani, Hamed; Volgmann, Sören; Bunte, Andreas: Datenanalyse in der intelligenten Fabrik. Springer Berlin Heidelberg, Berlin, Heidelberg, Jun 2016.

Maier, Alexander; Schriegel, Sebastian; Niggemann, Oliver: Big Data and Machine Learning for the Smart Factory – Solutions for Condition Monitoring, Diagnosis and Optimization. In: Industrial Internet of Things: Cybermanufacturing Systems, Springer Verlag, Jun 2016.

2015

Niggemann, Oliver; Frey, Christian: Data-Driven Anomaly Detection in Cyber-Physical Production Systems,, at – Automatisierungstechnik(63) S.: 821–832, Oct 2015

Vogel-Heuser, Birgit; Schütz, Daniel ; Schöler, Thorsten ; Pröll , Sebastian ; Jeschke, Sabina ; Ewert , Daniel ; Niggemann, Oliver; Windmann, Stefan; Berger, Ulrich ; Lehmann, Christian : Agentenbasierte cyber-physische Produktionssysteme – Anwendungen für Industrie 4.0. In: atp edition, DIV Vulkan-Verlag, München, Sep 2015.

Shrestha, Ganesh Man; Niggemann, Oliver: Hybrid Approach Combining Bayesian Network and Rule-based Systems for Resource Optimization in Industrial Cleaning Processes. In: 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2015) Luxembourg, Sep 2015.

Windmann, Stefan; Jungbluth, Florian ; Niggemann, Oliver: A HMM-Based Fault Detection Method for Piecewise Stationary Industrial Processes. In: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2015) Luxembourg, Sep 2015.

Windmann, Stefan; Niggemann, Oliver: MapReduce Algorithms for Efficient Generation of CPS Models from Large Historical Data Sets. In: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2015) Luxembourg, Sep 2015.

Specht, Felix; Flatt, Holger; Eickmeyer, Jens; Niggemann, Oliver: Exploiting Multicore Processors in PLCs using Libraries for IEC 61131-3. In: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2015) Luxembourg , Sep 2015.

Eickmeyer, Jens; Li, Peng; Pethig, Florian; Niggemann, Oliver: Data Driven Modeling for System-Level Condition Monitoring on Wind Power Plants. In: International Workshop on the Principles of Diagnosis (DX) Paris, France, Aug 2015.

Maier, Alexander; Niggemann, Oliver: On the Learning of Timing Behavior for Anomaly Detection in Cyber-Physical Production Systems. In: International Workshop on the Principles of Diagnosis (DX) Paris, France, Aug 2015.

Niggemann, Oliver; Biswas, Gautam; Kinnebrew, John S.; Khorasgani, Hamed; Volgmann, Sören; Bunte, Andreas: Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control. In: International Workshop on the Principles of Diagnosis (DX); Paris, France In: International Workshop on the Principles of Diagnosis (DX) Paris, France, Aug 2015.

Windmann, Stefan; Niggemann, Oliver: Efficient Fault Detection for Industrial Automation Processes with Observable Process Variables. In: IEEE International Conference on Industrial Informatics (INDIN 2015) Cambridge, UK, Jul 2015.

Windmann, Stefan; Niggemann, Oliver; Stichweh, Heiko: Energy efficiency optimization by automatic coordination of motor speeds in conveying systems. In: IEEE International Conference on Industrial Technology (ICIT 2015) Mar 2015.

Windmann, Stefan; Niggemann, Oliver: Automatic model separation and application to diagnosis in industrial automation systems. In: IEEE International Conference on Industrial Technology (ICIT 2015) Mar 2015.

Lohweg, Volker; Niggemann, Oliver: On the Diagnosis of Cyber-Physical Production Systems – State-of-the-Art and Research Agenda. In: Twenty-Ninth Conference on Artificial Intelligence (AAAI-15) Austin, Texas, USA, Jan 2015.

2014

Henning, Steffen; Otto, Jens; Niggemann, Oliver; Schriegel, Sebastian: A Descriptive Engineering Approach for Cyber-Physical Systems. In: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona, Spain, Sep 2014.

Niggemann, Oliver; Kroll, Bjoern: On the applicability of model based software development to cyber physical production systems. In: CyPhERS 2nd Experts Workshop CPSWeek 2014 CPSWeek 2014, Berlin, Germany, April 14 2014 , Apr 2014.

Kroll, Bjoern; Schaffranek, David; Schriegel, Sebastian; Niggemann, Oliver: System modeling based on machine learning for anomaly detection and predictive maintenance in industrial plants. In: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Sep 2014.

Niggemann, Oliver; Windmann, Stefan; Volgmann, Sören; Bunte, Andreas; Stein, Benno: Using Learned Models for the Root Cause Analysis of Cyber-Physical Production Systems. In: International Workshop on the Principles of Diagnosis (DX) Graz, Austria, Sep 2014.

Shrestha, Ganesh Man; Niggemann, Oliver: A Bayesian Predictive Assistance System for Resource Optimization – A Case Study in Industrial Cleaning Process. In: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona, Sep 2014.

Moriz, Natalia; Böttcher, Björn; Niggemann, Oliver; Lackhove, Josef: Assisted Design for Automation Systems – from Formal Requirements to Final Designs. In: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona, Spain, Sep 2014.

Frey, Christian; Heinzmann, Michael; Jasperneite, Jürgen; Niggemann, Oliver; Sauer, Olaf; Schleipen, Miriam; Usländer, Thomas: IKT in der Fabrik der Zukunft – Ein Diskussionsbeitrag zu Industrie 4.0. In: atp edition DIV Vulkan Verlag, München, Aug 2014.

Volgmann, Sören; Rangel, Francisco; Niggemann, Oliver; Rosso, Paolo: Emotional Trends in Social Media – A State Space Approach. In: 21st European Conference on Artificial Intelligence Frontiers in Artificial Intelligence and Applications, 2014 S.: Vol. 263, pp. 1123-1124, IOS Press, Aug 2014.

Böttcher, Björn; Moriz, Natalia; Niggemann, Oliver: From Formal Requirements on Technical Systems to Complete Designs – A Holistic Approach. In: 21st European Conference on Artificial Intelligence (ECAI 2014) In: 21st European Conference on Artificial Intelligence Frontiers in Artificial Intelligence and Applications, 2014 S.: pp. 977-978, Vol. 263, Prague, Czech Republic, Aug 2014.

Niggemann, Oliver; Jasperneite, Jürgen: Konzepte und Anwendungsfälle für die intelligente Fabrik. In: Bauernhansl, Thomas; ten Hompel, Michael; Vogel-Heuser, Birgit (Hrsg.): Industrie 4.0 in Produktion, Automatisierung und Logistik Springer-Verlag, Jun 2014.

Anis, Anas; Schäfer, Wilhelm; Niggemann, Oliver: A Comparison of Modeling Approaches for Planning in Cyber Physical Production Systems. In: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona, Jun 2014.

Niggemann, Oliver: Industrie 4.0 ohne modellbasierte Softwareentwicklung – Und warum es ohne Modelle nicht gehen wird. In: atp edition(Ausgabe 05 ) May 2014.

Windmann, Stefan; Niggemann, Oliver: Intelligente Assistenzsysteme für die Automation – Menschen bei der Prozessführung besser unterstützen. In: atp edition – Ausgabe 04 2014 Apr 2014.

Frey, Christian; Heinzmann, Michael; Jasperneite, Jürgen; Niggemann, Oliver; Sauer, Olaf; Schleipen, Miriam; Usländer, Thomas; Voit, Michael: IKT in der Fabrik der Zukunft – Ein Diskussionsbeitrag zu Industrie 4.0. In: atp edition Mar 2014.

2013

Niggemann, Oliver; Vodenčarević, Asmir; Maier, Alexander; Windmann, Stefan; Kleine Büning, Hans: A Learning Anomaly Detection Algorithm for Hybrid Manufacturing Systems. In: The 24th International Workshop on Principles of Diagnosis (DX-2013) Jerusalem, Israel, Oct 2013.

Kroll, Bjoern; Schriegel, Sebastian; Niggemann, Oliver: A Software Architecture for the Analysis of Energy- and Process-Data. In: 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Sep 2013.

Böttcher, Björn; Badinger, Johann; Moriz, Natalia; Niggemann, Oliver: Design of Industrial Automation Systems – Formal Requirements in the Engineering Process. In: 18thIEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Cagliari, Italy, Sep 2013.

Gilani, Syed Sheraz; Windmann, Stefan; Pethig, Florian; Kroll, Bjoern; Niggemann, Oliver: The Importance of Model-Learning for the Analysis of the Energy Consumption of Production Plant. In: 18th IEEE International Conference on Emerging Technologies & Factory Automation (ETFA), Cagliari, Italy Sep 2013.

Windmann, Stefan; Jiao, Shuo; Niggemann, Oliver; Borcherding, Holger: A Stochastic Method for the Detection of Anomalous Energy Consumption in Hybrid Industrial Systems. In: 11th International IEEE Conference on Industrial Informatics 2013 Bochum, Germany, May 2013.

Faltinski, Sebastian ; Jäger, Michael; Niggemann, Oliver; Marek, Frank: Auf dem Weg vom Spielzeug zum Werkzeug. In: atp edition May 2013.

Schetinin, Nikolai; Moriz, Natalia; Kumar, Barath; Faltinski, Sebastian ; Niggemann, Oliver; Maier, Alexander: Why do verification approaches in automation rarely use HIL-test? In: IEEE International Conference on Industrial Technology (ICIT) 25.-27. February 2013, Cape Town, South Africa, Feb 2013.

Maier, Alexander; Köster, Markus; Paiz Gatica, Carlos; Niggemann, Oliver: Automated Generation of Timing Models in Distributed Production Plants. In: IEEE International Conference on Industrial Technology (ICIT 2013), Cape Town, South Africa, Feb 2013 Feb 2013.

2012

Pethig, Florian; Kroll, Bjoern; Niggemann, Oliver; Maier, Alexander; Tack, Tim: A Generic Synchronized Data Acquisition Solution for Distributed Automation Systems. In: 18th IEEE International Conference on Emerging Technologies and Factory Automation Krakow, Poland, Sep 2012.

Jasperneite, Jürgen; Niggemann, Oliver: Intelligente Assistenzsysteme zur Beherrschung der Systemkomplexität in der Automation. In: ATP edition – Automatisierungstechnische Praxis 9/2012 Oldenbourg Verlag, München, Sep 2012.

Niggemann, Oliver; Stein, Benno; Vodenčarević, Asmir; Maier, Alexander; Kleine Büning, Hans: Learning Behavior Models for Hybrid Timed Systems. In: Twenty-Sixth Conference on Artificial Intelligence (AAAI-12) Jul 2012.

Faltinski, Sebastian ; Flatt, Holger; Pethig, Florian; Kroll, Bjoern; Vodenčarević, Asmir; Maier, Alexander; Niggemann, Oliver: Detecting Anomalous Energy Consumptions in Distributed Manufacturing Systems. In: IEEE 10th International Conference on Industrial Informatics (INDIN), 2012 Beijing, China, Jul 2012.

Faltinski, Sebastian ; Niggemann, Oliver; Moriz, Natalia; Mankowski, Andre: AutomationML: From Data Exchange to System Planning and Simulation.. In: 2012 IEEE International Conference on Industrial Technology (ICIT) Athen, Griechenland, Mar 2012.

2011

Vodenčarević, Asmir; Kleine Büning, Hans; Niggemann, Oliver; Maier, Alexander: Identifying Behavior Models for Process Plants. In: 16th IEEE International Conference on Emerging Technologies and Factory Automation ETFA’2011, Toulouse, France, 2011 In: 16th IEEE International Conference on Emerging Technologies & Factory Automation (ETFA) Sep 2011.

Jäger, Michael; Just, Roman; Niggemann, Oliver: Using automatic Topology Discovery to diagnose PROFINET networks. In: 16th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2011) Toulouse, France, Sep 2011.

Wienke, Michael; Faltinski, Sebastian  Niggemann, Oliver; Jasperneite, Jürgen: mINA-DL: A Novel Description Language Enabling Dynamic Reconfiguration in Industrial Automation. In: 16th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2011) Toulouse, France, Sep 2011.

2010

Niggemann, Oliver; Lohweg, Volker; Tack, Tim: A Probabilistic MajorClust Variant for the Clustering of Near-Homogeneous Graphs. In: 33rd Annual German Conference on Artificial Intelligence (KI 2010) Sep 2010.

Niggemann, Oliver: System-Level Design and Simulation of Automation Systems. In: 8th IEEE International Workshop on Factory Communication Systems – COMMUNICATION in AUTOMATION (WFCS 2010) May 2010.

2009

Kumar, Barath; Niggemann, Oliver; Jasperneite, Jürgen: Timed Automata for Modeling Network Traffic. In: Machine Learning in Real-Time Applications (MLRTA 09) (in conjunction with 32nd Annual Conference on Artificial Intelligence (KI 2009)) Paderborn, Germany, Sep 2009.

Niggemann, Oliver et al.: Using Simulation to Verify Diagnosis Algorithms of Electronic Systems. To be published in SAE World Congress, 2009. , Mar 2009.

2008

Niggemann, Oliver et al.: Durchgängige Systemtests von der virtuellen Integration bis zum Verbundtest.. In: ATZ elektronik Nov 2008.

Stichling, Dirk; Niggemann, Oliver; Fleischer, Dirk: Combining Automotive System and Function Models to support Code Generation and Early System Verification. Convergence 2008, October 20-22, 2008, Detroit, Michigan, USA , Oct 2008.

Otterbach, Rainer; Niggemann, Oliver; Fleischer, Dirk; Jogi, Santhosh: Using Software Architecture Models in Automotive Development Processes. SAE 2008 Commercial Vehicle Engineering Congress, October 7-9, 2008, Rosemont, Illinois, USA, Oct 2008.

Niggemann, Oliver; Stroop, Joachim: Models for Model’s Sake. Proceedings of the 30th International Conference on Software Engineering (ICSE) – Experience Track on Automotive Systems, Leipzig, Germany, 10 – 18 May 2008 , May 2008.

2007

Niggemann, Oliver; Eisemann, Ulrich; Beine, Michael; Kiffmeier, Ulrich: Behavior Modeling Tools in an Architecture-Driven Development Process – From Function Models to AUTOSAR. SAE World Congress & Exhibition, April 2007, Detroit, USA , Apr 2007.

2006

Stein, Benno; Niggemann, Oliver; Balzer, Heinrich: Diagnosis in Automotive Applications. 3rd Monet Workshop on Model-Based Systems (MBS-06) at the ECAI 06 at Riva de Gard, Italy, 2006 , Aug 2006.

Stein, Benno; Niggemann, Oliver; Lettmann, Theodor: Speeding up Model-based Diagnosis by a Heuristic Approach to Solving SAT. In Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (AIA 06), Innsbruck, Austria, Anaheim, Calgary, Zurich, February 2006. , Feb 2006.

2002

Bach, Roland; Zeller, Vitus; Cheleg, Alexei; Niggemann, Oliver: Assessing the Influence of Linear/Nonlinear Effects on Different Q-Factor Measurement Methods. 18th National Fiber Optic Engineer Conference (NFOEC), Dallas, USA, 2002 , Jul 2002.

2001

Niggemann, Oliver; Stein, Benno: Generation of Similarity Measures from Different Sources. The Fourteenth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE-2001). Springer-Verlag (Lecture Notes in the Computer Science/Lecture Notes in Artificial Intelligence), 2001 , Sep 2001.

Niggemann, Oliver; Stein, Benno; Tölle, Jens: Visualization of Traffic Structures. IEEE International Conference on Communications (ICC) 2001, Helsinki, Finland , Aug 2001.

Niggemann, Oliver: Visual Data Mining of Graph-Based Data. University of Paderborn, 2001. An electronic copy is available from the library of the University of Paderborn (http://ubdata.uni-paderborn.de/ediss/17/2001/niggeman/). , Jun 2001.

Lappe, Michael; Parl, Jong; Niggemann, Oliver; Holm, Liisa: Generating Protein Interaction Maps from Incomplete Data: Application to Fold Assignment. „9th International Conference on Intelligent Systems for Molecular Biology“. „9th International Conference on Intelligent Systems for Molecular Biology“, Copenhagen, Denmark, 2001 , Mar 2001.

1997-2000

Niggemann, Oliver; Stein, Benno: Learning the optimal Graph-Drawing Method for clustered Graphs. In Advanced Visual Interfaces 2000, ACM , Jul 2000.

B. Stein and O. Niggemann. On the nature of structure and its identification. In 25th International Workshop on Graph-Theoretic Concepts in Computer Science, Lecture Notes In Computer Science, Springer Verlag, 1999

Oliver Niggemann, Benno Stein and Michael Suermann. Network Configuration: Approaches for Solving the Cable Management Problem. International Symposium on Mathematical Programming (ISMP 97). Swiss Federal Institute of Technology, Lausanne (EPFL), August 1997.

HSU

Letzte Änderung: 4. August 2020