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    Farzad Rezazadeh, Axel Dürrbaum, Gregor Zimmermann, Andreas Kroll Holistic Modeling of Ultra-High Performance Concrete Production Process: Synergizing Mix Design, Fresh Concrete Properties and Curing Conditions 2023 33. Workshop Computational Intelligence, pp. 215-237, KIT Scientific Publishing, Berlin, Germany, Workshop CI, 23.-24. November  DOI , URL  
    BibTeX:
    @inproceedings{RezazadehGMA2023,
     address = {Berlin, Germany},
     author = {Farzad Rezazadeh and Axel Dürrbaum and Gregor
    Zimmermann and Andreas Kroll},
     booktitle = {33. Workshop Computational Intelligence},
     doi = {10.5445/KSP/1000162754},
     language = {english},
     month = {23.--24. November},
     mrtnote = {nopeer,talk:fr,EEpBeton},
     organization = {Workshop CI},
     owner = {fr},
     pages = {215--237},
     publisher = {KIT Scientific Publishing},
     title = {Holistic Modeling of Ultra-High Performance Concrete Production Process: Synergizing Mix Design, Fresh Concrete Properties
    and Curing
    Conditions},
     url = {https://doi.org/10.5445/KSP/1000162754},
     year = {2023}
    }
    
    
    Axel Dürrbaum, Farzad Rezazadeh, Andreas Kroll Automatic Camera-based advanced Slump FlowTesting for Improved Reliability 2023 IEEE Sensors 2023, Vienna, Austria, IEEE, 30. October  DOI , URL  
    BibTeX:
    @inproceedings{2023-ad_fr_ak_-Senors_2023-SFT_Camera,
     address = {Vienna, Austria},
     author = {Axel Dürrbaum and Farzad Rezazadeh and Andreas
    Kroll},
     booktitle = {IEEE Sensors 2023},
     doi = {10.1109/SENSORS56945.2023.10325030},
     language = {english},
     month = {30. October},
     mrtnote = {peer,talk:Dürrbaum,EEpBeton},
     organization = {IEEE},
     owner = {duerrbaum},
     title = {Automatic Camera-based advanced Slump FlowTesting
    for Improved Reliability},
     url = {https://ieeexplore.ieee.org/document/10325030},
     year = {2023}
    }
    
    
    Andreas Kroll Digitale Transformation - Chancen und Fallstricke technischer Daten 2019 IHK Kassel-Marburg, 22. Oktober 2019   
    BibTeX:
    @conference{2019-Kroll-Talk-Digitale_Transformation,
     author = {Andreas Kroll},
     date = {2019.10.22},
     language = {german},
     mrtnote = {talk:kroll},
     note = {IHK Kassel-Marburg, 22. Oktober 2019},
     owner = {duerrbaum},
     timestamp = {2019.10.23},
     title = {Digitale Transformation -- Chancen und Fallstricke
    technischer Daten},
     year = {2019}
    }
    
    
    Axel Dürrbaum µPlant: Eine automatisierungstechnisch-orientierte Modellfabrik für Forschung und Lehre 2017 DAAD Stipendiatentreffen an der Universität Kassel (Vortrag), 1. April   
    BibTeX:
    @conference{2017-Duerrbaum-DAAD,
     author = {Axel Dürrbaum},
     language = {german},
     month = {1. April},
     mrtnote = {talk:Dürrbaum,muPlant},
     note = {DAAD Stipendiatentreffen an der Universität Kassel
    (Vortrag)},
     owner = {duerrbaum},
     timestamp = {2017.04.03},
     title = {µPlant: Eine automatisierungstechnisch-orientierte Modellfabrik für Forschung und
    Lehre},
     year = {2017}
    }
    
    
    Andreas Kroll µPlant: Eine automatisierungstechnisch-orientierte Modellfabrik für Forschung und Lehre 2017 VDI Bezirksverein Nordhessen, Arbeitskreis Mess- und Automatisierungstechnik, Mai   
    Abstract: Die Modellfabrik µPlant stellt eine modulare, stofflich und informationstechnisch vernetzte Miniaturfabrik dar. Sie besteht aus mehreren unterschiedlichen Modulen, in denen kontinuierliche Prozesse oder Stückgutprozesse ablaufen, einem Lager mit Knickarmroboter sowie mehreren mobilen Robotern für einen flexibel einstellbaren Materialfluss zwischen den einzelnen Modulen. Die Module haben jeweils eigene, für den jeweiligen Modultyp spezifisch ausgewählte Automatisierungssysteme. Die Modellfabrik dient im Bereich der Lehre der Qualifizierung Studierender an modernen und an zukünftigen Automatisierungstechnologien. In der Forschung dient sie als Testeinrichtung für Methoden aus den Bereichen Überwachung, Modellbildung, Regelung und Optimierung. In einem Vortrag wird eine technische Übersicht über die Anlage gegeben und ihre Funktion erläutert. Anschlißend findet eine Vorführung der Modellfabrik statt. Univ.-Prof. Dr.-Ing. Andreas Kroll leitet das Fachgebiet Mess- und Regelungstechnik im Fachbereich Maschinenbau an der Universität Kassel. Zudem ist er Arbeitskreisleiter des AK 4 "Mess- und Regelungstechnik" im VDI Bezirksverein Nordhessen.
    BibTeX:
    @conference{2017-Kroll-VDI-muPlant,
     abstract = {Die Modellfabrik µPlant stellt eine modulare, stofflich und informationstechnisch vernetzte Miniaturfabrik dar. Sie besteht aus mehreren unterschiedlichen Modulen, in denen kontinuierliche Prozesse oder Stückgutprozesse ablaufen, einem Lager mit Knickarmroboter sowie mehreren mobilen Robotern für einen flexibel einstellbaren Materialfluss zwischen den einzelnen Modulen. Die Module haben jeweils eigene, für den jeweiligen Modultyp spezifisch ausgewählte Automatisierungssysteme. Die Modellfabrik dient im Bereich der Lehre der Qualifizierung Studierender an modernen und an zukünftigen Automatisierungstechnologien. In der Forschung dient sie als Testeinrichtung für Methoden aus den Bereichen Überwachung, Modellbildung, Regelung und Optimierung. In einem Vortrag wird eine technische Übersicht über die Anlage gegeben und ihre Funktion erläutert. Anschlißend findet eine Vorführung der Modellfabrik statt. Univ.-Prof. Dr.-Ing. Andreas Kroll leitet das Fachgebiet Mess- und Regelungstechnik im Fachbereich Maschinenbau an der Universität Kassel. Zudem ist er Arbeitskreisleiter des AK 4 "Mess- und Regelungstechnik" im VDI Bezirksverein Nordhessen.},
     author = {Andreas Kroll},
     date = {2017.05.09},
     language = {german},
     month = {Mai},
     mrtnote = {talk: kroll, muPlant},
     note = {VDI Bezirksverein Nordhessen, Arbeitskreis Mess- und
    Automatisierungstechnik},
     owner = {duerrbaum},
     timestamp = {2017.08.18},
     title = {µPlant: Eine automatisierungstechnisch-orientierte Modellfabrik für Forschung und
    Lehre},
     year = {2017}
    }
    
    
    Andreas Kroll On nonlinear system identification and big data: Selected research activities 2016 18.11.2016, IAV Berlin   
    BibTeX:
    @conference{2016-Kroll-Talk-IAV_NL_SysId,
     author = {Andreas Kroll},
     date = {18.11.2016},
     language = {german},
     location = {Berlin},
     mrtnote = {talk:kroll},
     note = {18.11.2016, IAV Berlin},
     owner = {duerrbaum},
     timestamp = {2019.10.23},
     title = {On nonlinear system identification and big data:
    {S}elected research activities},
     year = {2016}
    }
    
    
    A. Kroll, A. Dürrbaum, D. Arengas, B. Jäschke, H. Al Mawla, A. Geiger µPlant: Model factory for the automatization of networked, heterogeneous and flexibly changeable multi-product plants 2016 Automation 2016, vol. VDI-Berichte 2284, VDI, Baden-Baden, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), online, 7.-8. Juni  URL  
    BibTeX:
    @inproceedings{muPlant_AUTOMATION_2016,
     address = {Baden-Baden},
     author = {A. Kroll and A. Dürrbaum and D. Arengas and B. Jäschke and H. {Al Mawla} and A.
    Geiger},
     booktitle = {Automation 2016},
     howpublished = {online},
     isbn = {978-3-18-092284-0},
     issn = {0083-5560},
     language = {english},
     month = {7.-8. Juni},
     mrtnote = {muPlant, FEE, talk:Dürrbaum,
    Poster:Dürrbaum,pke,nopeer},
     organization = {VDI/VDE-Gesellschaft Mess- und
    Automatisierungstechnik (GMA)},
     owner = {duerrbaum},
     publisher = {VDI},
     timestamp = {2016.06.08},
     title = {µPlant: Model factory for the automatization of networked, heterogeneous and flexibly changeable multi-product
    plants},
     url = {https://www.automatisierungskongress.de/},
     volume = {VDI-Berichte 2284},
     year = {2016}
    }
    
    
    Andreas Kroll, Axel Dürrbaum On joint optimal experiment design for identifying partition and local model parameters of Takagi-Sugeno models 2015 Proceedings of the 17th IFAC Symposium on System Identification (SysID), pp. 1427 - 1432, Beijing, China, October 19-21  DOI  
    Abstract: Optimal Experiment Design (OED) is a well-developed concept for regression problems that are linear-in-their-parameters or for linear dynamical models. In case of nonlinear Takagi-Sugeno models either non-model-based experiment design or OED restricted to the local model parameters has been examined. This article proposes a joint design of local model and partition parameters that bases on the Fisher Information Matrix (FIM). For this purpose, a symbolic description of the joint FIM is derived. Its heterogeneous structure can make it badly conditioned, complicating computation of the determinant for D-optimal design. This problem is relaxed using determinant decomposition. A theoretical analysis and a case study show that experiment design for local model and partition parameters may significantly differ from each other.
    BibTeX:
    @inproceedings{Duerrbaum-2015-SysID,
     abstract = {Optimal Experiment Design (OED) is a well-developed concept for regression problems that are linear-in-their-parameters or for linear dynamical models. In case of nonlinear Takagi-Sugeno models either non-model-based experiment design or OED restricted to the local model parameters has been examined. This article proposes a joint design of local model and partition parameters that bases on the Fisher Information Matrix (FIM). For this purpose, a symbolic description of the joint FIM is derived. Its heterogeneous structure can make it badly conditioned, complicating computation of the determinant for D-optimal design. This problem is relaxed using determinant decomposition. A theoretical analysis and a case study show that experiment design for local model and partition parameters may significantly differ from each other.},
     address = {Beijing, China},
     author = {Andreas Kroll and Axel Dürrbaum},
     booktitle = {Proceedings of the 17th IFAC Symposium on System
    Identification ({SysID})},
     doi = {doi:10.1016/j.ifacol.2015.12.333},
     keywords = {Nonlinear system identification, optimal experiment design
    Takagi-Sugeno fuzzy
    systems},
     language = {english},
     month = {October 19-21},
     mrtnote = {peer,talk:Dürrbaum,oed},
     pages = {1427 -- 1432},
     timestamp = {2015.02.13},
     title = {On joint optimal experiment design for identifying partition and local model parameters of Takagi-Sugeno
    models},
     year = {2015}
    }
    
    
    Moritz Wagner, Andreas Kroll A method to identify hybrid systems with mixed piecewise affine or nonlinear models of Takagi-Sugeno type 2014 13th European Control Conference (ECC 14), pp. 394 - 399, Strasbourg, IEEE, 25-27. June 2014  URL  
    Abstract: A clustering-based method to identify models that are piecewise affine or of Takagi-Sugeno type is presented. As prototype-based clustering algorithms, which are well suited for partitioning, frequently converge to unwanted local solutions, density-based noise clustering is used to initialize them. The clustering acts in a mixed parameter-position feature space and divides the data into separate sets for identifying local models and partition boundaries, which are assumed to be piecewise planar. The obtained partitions are tested on linearity and otherwise replaced each by a TS model that is identified from the respective data. The method is demonstrated for a test problem that includes switching, local polynomial nonlinearity as well as non-convex partition boundaries.
    BibTeX:
    @inproceedings{ECC2014-Wagner_Kroll,
     abstract = {A clustering-based method to identify models that are piecewise affine or of Takagi-Sugeno type is presented. As prototype-based clustering algorithms, which are well suited for partitioning, frequently converge to unwanted local solutions, density-based noise clustering is used to initialize them. The clustering acts in a mixed parameter-position feature space and divides the data into separate sets for identifying local models and partition boundaries, which are assumed to be piecewise planar. The obtained partitions are tested on linearity and otherwise replaced each by a TS model that is identified from the respective data. The method is demonstrated for a test problem that includes switching, local polynomial nonlinearity as well as non-convex partition boundaries.},
     address = {Strasbourg},
     author = {Moritz Wagner and Andreas Kroll},
     booktitle = {13th European Control Conference (ECC 14)},
     isbn = {978-3-9524269-2-0},
     language = {english},
     month = {25-27. June 2014},
     mrtnote = {peer,talk:kroll},
     organization = {IEEE},
     owner = {duerrbaum},
     pages = {394 -- 399},
     timestamp = {2014.03.14},
     title = {A method to identify hybrid systems with mixed piecewise affine or nonlinear models of Takagi-Sugeno
    type},
     url = {https://www.ecc14.eu/},
     year = {2014}
    }
    
    
    Andreas Geiger Zur qualitativen Analyse großer, verkoppelter Systeme auf Inverse-Response-Verhalten 2014 48. Regelungstechnisches Kolloquium in Boppard, 20.-21. Februar  URL  
    BibTeX:
    @conference{Geiger2014,
     author = {Andreas Geiger},
     booktitle = {48. Regelungstechnisches Kolloquium in Boppard},
     language = {german},
     month = {20.-21. Februar},
     mrtnote = {talk:Geiger,Netze,nopeer},
     owner = {duerrbaum},
     timestamp = {2014.02.27},
     title = {Zur qualitativen Analyse großer, verkoppelter Systeme auf
    Inverse-Response-Verhalten},
     url = {https://www.iosb.fraunhofer.de/?boppard},
     year = {2014}
    }
    
    
    Patrick Gerland Klassifikationsgestütze Adaption eines robusten nichtlinearen Beobachters zur Fehlerdiagnose 2011 45. Regelungstechnisches Kolloquium in Boppard, 23.-25. Februar  URL  
    BibTeX:
    @conference{2011-Gerland-Talk-Boppard,
     author = {Patrick Gerland},
     booktitle = {45. Regelungstechnisches Kolloquium in Boppard},
     keywords = {Modellbasierte Fehlerdiagnose, nichtlinearer robuster Beobachter, Klassifikation, Schwellwertadaption},
     language = {german},
     month = {23.-25. Februar},
     mrtnote = {talk:Gerland,nopeer},
     owner = {duerrbaum},
     timestamp = {2014.02.27},
     title = {Klassifikationsgestütze Adaption eines robusten nichtlinearen Beobachters zur
    Fehlerdiagnose},
     url = {https://www.iosb.fraunhofer.de/?boppard},
     year = {2011}
    }
    
    
    Kroll, Andreas, Dürrbaum, Axel On Control-specific Derivation of Affine Takagi-Sugeno Models from Physical Models: Assessment Criteria and Modeling Procedure 2011 CICA 2011 IEEE Symposium on Computational Intelligence in Control and Automation, pp. 23 - 30, Paris, France, IEEE Symposium Series on Computational Intelligence, April 11-15  URL  
    Abstract: Models are commonly derived and their performance is assessed wrt. minimal prediction error on a closed data set. However, if no perfect model can be used, the degrees of freedom in modeling should be used to adjust the model to application-specific metrics. For model-based controller design, control-oriented performance metrics (e.g. performance wrt. to control-critical properties) are important, but not primarily prediction (i.e. prognosis- and simulation-oriented) ones. This motivates the derivation of control-specific models. The contribution introduces structured and quantitative measures on "model suitability for control" for the class of affine dynamic Takagi-Sugeno models. A method is suggested that derives control-specific dynamic models from a physical model given as a set of nonlinear differential equations. Within a case study, the proposed method demonstrates its significance: Using control-specific models improves control performance metrics such as set-point tracking quality, stability region and energy efficiency.
    BibTeX:
    @inproceedings{KrollSSCI2011TSK,
     abstract = {Models are commonly derived and their performance is assessed wrt. minimal prediction error on a closed data set. However, if no perfect model can be used, the degrees of freedom in modeling should be used to adjust the model to application-specific metrics. For model-based controller design, control-oriented performance metrics (e.g. performance wrt. to control-critical properties) are important, but not primarily prediction (i.e. prognosis- and simulation-oriented) ones. This motivates the derivation of control-specific models. The contribution introduces structured and quantitative measures on "model suitability for control" for the class of affine dynamic Takagi-Sugeno models. A method is suggested that derives control-specific dynamic models from a physical model given as a set of nonlinear differential equations. Within a case study, the proposed method demonstrates its significance: Using control-specific models improves control performance metrics such as set-point tracking quality, stability region and energy efficiency.},
     address = {Paris, France},
     author = {Kroll, Andreas and Dürrbaum, Axel},
     booktitle = {CICA 2011 IEEE Symposium on Computational
    Intelligence in Control and Automation},
     keywords = {Nonlinear dynamic modeling, Takagi-Sugeno systems,
    modeling for control},
     language = {english},
     month = {April 11-15},
     mrtnote = {peer, FuzzyIdControl, talk:Dürrbaum},
     organization = {IEEE Symposium Series on Computational Intelligence},
     pages = {23 -- 30},
     title = {On Control-specific Derivation of Affine Takagi-Sugeno Models from Physical Models: Assessment Criteria and Modeling
    Procedure},
     url = {https://www.ieee-ssci.org/},
     year = {2011}
    }
    
    
    Werner Baetz, Andreas Kroll, Samuel Soldan On Gas Leak Detection of Pressurised Components by Using Thermograms and Pattern Recognition Algorithms 2010 Proc. 8th Int. Conf. on NDE in Relation to Structural Integrity for Nuclear and Pressurised Components, pp. 503-512, European Commission, Joint Research Center, Institute for Energy, Berlin, Germany, DGZfP-Proceedings BB 125-CD, 29. September - 1. Oktober  URL  
    Abstract: Detection of leaks in pressurized components such as above-ground pipes, vessels, instruments, fittings and machinery is of high relevance for plant operating authorities and utility companies in order to prevent harm to humans, nature and assets or just to prevent financial losses. Especially for gaseous fluids, remotely applicable infrared (IR) spectroscopical detection methods can be applied to scan the environment of the pressurised components for escaped gas. Spectroscopic methods fail if the spectral fingerprint of the fluid is unknown or not distinguishable in the chosen IR window of the atmosphere. Moreover, leaks in pressurised or liquid air leading components cannot be detected spectroscopically. In such cases, the application of passive IR thermography is proposed to permit remote leak detection by assessing the resulting temperature profile disturbance due to the cooling effect of expanding gas. This effect is not limited to pressurised air but can be used for any gaseous fluid. The thermal effect is tiny and the disturbances e.g. due to reflections of natural and artificial IR emitters and due to varying surface and material properties (heat conduction, emissivity, reflectivity,...) in the optical infrared spectral region make it difficult to interpret the interferogram by the human operator to identify a leak. In this contribution, methods for an automatic analysis of thermograms with respect to the presence of leaks by using pattern matching algorithms are presented. For this purpose, a dedicated test stand was build. The results of extensive leakage measurement campaigns with different materials (incl. ordinary and stainless steel), various pressurized components (incl. pipes, valves, flanges, manometers) and of different measurement set-ups (measurement angle, disturbing emitters, pressure difference, ...) will be presented. Pressurised air was used as test gas due to its simple handling. Different pattern matching algorithms that use the concept of a matching filter will be introduced and first results comparing their classification performance will be recorded. It will be shown, that under laboratory conditions, an extended range of leakages can be reliably detected.
    BibTeX:
    @inproceedings{Baetz_NDE2010,
     abstract = {Detection of leaks in pressurized components such as above-ground pipes, vessels, instruments, fittings and machinery is of high relevance for plant operating authorities and utility companies in order to prevent harm to humans, nature and assets or just to prevent financial losses. Especially for gaseous fluids, remotely applicable infrared (IR) spectroscopical detection methods can be applied to scan the environment of the pressurised components for escaped gas. Spectroscopic methods fail if the spectral fingerprint of the fluid is unknown or not distinguishable in the chosen IR window of the atmosphere. Moreover, leaks in pressurised or liquid air leading components cannot be detected spectroscopically. In such cases, the application of passive IR thermography is proposed to permit remote leak detection by assessing the resulting temperature profile disturbance due to the cooling effect of expanding gas. This effect is not limited to pressurised air but can be used for any gaseous fluid. The thermal effect is tiny and the disturbances e.g. due to reflections of natural and artificial IR emitters and due to varying surface and material properties (heat conduction, emissivity, reflectivity,...) in the optical infrared spectral region make it difficult to interpret the interferogram by the human operator to identify a leak. In this contribution, methods for an automatic analysis of thermograms with respect to the presence of leaks by using pattern matching algorithms are presented. For this purpose, a dedicated test stand was build. The results of extensive leakage measurement campaigns with different materials (incl. ordinary and stainless steel), various pressurized components (incl. pipes, valves, flanges, manometers) and of different measurement set-ups (measurement angle, disturbing emitters, pressure difference, ...) will be presented. Pressurised air was used as test gas due to its simple handling. Different pattern matching algorithms that use the concept of a matching filter will be introduced and first results comparing their classification performance will be recorded. It will be shown, that under laboratory conditions, an extended range of leakages can be reliably detected.},
     address = {Berlin, Germany},
     author = {Werner Baetz AND Andreas Kroll AND Samuel Soldan},
     booktitle = {Proc. 8th Int. Conf. on NDE in Relation to Structural Integrity for Nuclear and Pressurised Components},
     comment = {ISBN 78-3-940283-30-6 (CD)},
     editor = {Michel Bieth},
     file = {Proceedings-CD:M\:\\Veroeffentlichungen\\Bibliothek\\Konferenzen\\NDE_2010\\Inhalt\\we4b5.pdf:URL;Folien:M\:\\Veroeffentlichungen\\Publikationen\\NDE2010\\final
    version\\We.4.B.5.ppt:PowerPoint;Manuscript:M\:\\Veroeffentlichungen\\Publikationen\\NDE2010\\final
    version\\NDE2010_final.doc:Word},
     isbn = {978-92-79-20321-3},
     language = {english},
     month = {29. September -- 1. Oktober},
     mrtnote = {robogas, thermofusion, nopeer, talk:Baetz},
     note = {DGZfP-Proceedings BB 125-CD},
     owner = {baetz},
     pages = {503--512},
     publisher = {European Commission, Joint Research Center,
    Institute for Energy},
     timestamp = {2010.06.17},
     title = {On Gas Leak Detection of Pressurised Components by Using Thermograms and Pattern Recognition Algorithms},
     url = {https://www.8thnde.com/Programme/Session.aspx?id={8B4185CE-336B-4725-A598-31A1F23F9DA1}},
     year = {2010}
    }
    
    
    Kroll, Andreas On computer-based education of operators in the chemical industry 2006 University of Aachen (invited talk), February 1st   
    BibTeX:
    @unpublished{kroll2006a,
     author = {Kroll, Andreas},
     editor = {Kroll, Andreas},
     language = {english},
     month = {February 1st},
     mrtnote = {talk:Kroll},
     note = {University of Aachen (invited talk)},
     owner = {liebermann},
     timestamp = {2007.12.14},
     title = {On computer-based education of operators in the
    chemical industry},
     year = {2006}
    }
    
    

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