@article{21545,
author = {{Masendorf, Lukas and Wächter, Michael and Esderts, Alfons and Otroshi, Mortaza and Meschut, Gerson}},
issn = {{8756-758X}},
journal = {{Fatigue & Fracture of Engineering Materials & Structures}},
pages = {{15}},
title = {{{Service life estimation of self‐piercing riveted joints by linear damage accumulation}}},
doi = {{10.1111/ffe.13446}},
year = {{2021}},
}
@inproceedings{36527,
author = {{Jensen, Solveig and Gasteiger, Hedwig and Bruns, Julia}},
booktitle = {{Proceedings of the 44th Conference of the International Group for the Psychology of Mathematics Education}},
editor = {{Inprasitha, Maitree and Changsri, Narumon and Boonsena, Nisakorn}},
location = {{Khon Kaen, Thailand}},
pages = {{101--109}},
title = {{{Place value and regrouping as seperate constructs of place value understanding}}},
volume = {{3}},
year = {{2021}},
}
@inproceedings{36536,
author = {{Jensen, Solveig and Gasteiger, Hedwig and Bruns, Julia}},
booktitle = {{Beiträge zum Mathematikunterricht 2021}},
location = {{Lüneburg}},
publisher = {{WTM-Verlag}},
title = {{{Stellenwertverständnis: Verständnis von Stellenwertprinzip und Bündelungsprinzip als separate Konstrukte}}},
doi = {{http://dx.doi.org/10.17877/DE290R-22292}},
year = {{2021}},
}
@inproceedings{45326,
author = {{Mattei, Annalisa and Eremin, Oxana}},
booktitle = {{Bericht zur Jahrestagung der Sektion Frauen- und Geschlechterforschung in der Erziehungswissenschaft in der Deutschen Gesellschaft für Erziehungswissenschaft}},
location = {{Europa-Universität Flensburg }},
pages = {{87--89}},
title = {{{Corona und Krise. Perspektiven erziehungswissenschaftlicher Frauen- und Geschlechterforschung}}},
year = {{2021}},
}
@inbook{45319,
author = {{Schemmer, Susanne Jutta and Heisler, Dietmar and Rink, Julia}},
booktitle = {{Entwicklungen und Perspektiven in der Berufsorientierung. Stand und Herausforderungen. Online: (06.12.2021)}},
editor = {{Weyland, Ulrike and Ziegler, Birgit and Driesel-Lange, Katja and Kruse, Annika}},
pages = {{60--78}},
publisher = {{Verlag Barbara Budrich}},
title = {{{Entwicklungschance oder Warteschleife? Berufsorientierung und Berufswahl in der Berufsfachschule}}},
year = {{2021}},
}
@book{46613,
abstract = {{Trotz massiver Förderungen für die Digitalisierung ist die Präsenzlehre noch immer der Standard an deutschen Hochschulen. Aufgrund des Physical Distancing im Zuge der Corona-Pandemie musste sie jedoch kurzfristig fast vollständig digitalisiert werden. Die Beiträge des Bandes bieten einen multiperspektivischen Zugang zu den damit verbundenen Herausforderungen und beleuchten, wie die verschiedenen Akteur*innen die Umstellung auf digitale Lehr- und Lernformate umgesetzt und erlebt haben. Durch die Zusammenführung der verschiedenen Sichtweisen können die Bedarfe und Wünsche der einzelnen Akteursgruppen zusammengebracht und bei der nachhaltigen Weiterentwicklung der Hochschullehre besser berücksichtigt werden.}},
editor = {{Neiske, Iris and Osthushenrich, Judith and Schaper, Niclas and Trier, Ulrike and Vöing, Nerea}},
isbn = {{9783837656909}},
issn = {{2749-7623}},
publisher = {{transcript Verlag}},
title = {{{Hochschule auf Abstand}}},
doi = {{10.14361/9783839456903}},
year = {{2021}},
}
@inproceedings{22724,
abstract = {{
Predictive Maintenance as a desirable maintenance strategy in industrial applications relies on suitable condition monitoring solutions to reduce costs and risks of the monitored technical systems. In general, those solutions utilize model-based or data-driven methods to diagnose the current state or predict future states of monitored technical systems. However, both methods have their advantages and drawbacks. Combining both methods can improve uncertainty consideration and accuracy. Different combination approaches of those hybrid methods exist to exploit synergy effects. The choice of an appropriate approach depends on different requirements and the goal behind the selection of a hybrid approach.
In this work, the hybrid approach for estimating remaining useful lifetime takes potential uncertainties into account. Therefore, a data-driven estimation of new measurements is integrated within a model-based method. To consider uncertainties within the system, a differentiation between different system behavior is realized throughout diverse states of degradation.
The developed hybrid prediction approach bases on a particle filtering method combined with a machine learning method, to estimate the remaining useful lifetime of technical systems. Particle filtering as a Monte Carlo simulation technique is suitable to map and propagate uncertainties. Moreover, it is a state-of-the-art model-based method for predicting remaining useful lifetime of technical systems. To integrate uncertainties a multi-model particle filtering approach is employed. In general, resampling as a part of the particle filtering approach has the potential to lead to an accurate prediction. However, in the case where no future measurements are available, it may increase the uncertainty of the prediction. By estimating new measurements, those uncertainties are reduced within the data-driven part of the approach. Hence, both parts of the hybrid approach strive to account for and reduce uncertainties.
Rubber-metal-elements are employed as a use-case to evaluate the developed approach. Rubber-metal-elements, which are used to isolate vibrations in various systems, such as railways, trucks and wind turbines, show various uncertainties in their behavior and their degradation. Those uncertainties are caused by diverse inner and outer factors, such as manufacturing influences and operating conditions. By expert knowledge the influences are described, analyzed and if possible reduced. However, the remaining uncertainties are considered within the hybrid prediction method. Relative temperature is the selected measurand to describe the element’s degradation. In lifetime tests, it is measured as the difference between the element’s temperature and the ambient temperature. Thereby, the influence of the ambient temperature on the element’s temperature is taken into account. Those elements show three typical states of degradation that are identified within the temperature measurements. Depending on the particular state of degradation a new measurement is estimated within the hybrid approach to reduce potential uncertainties.
Finally, the performance of the developed hybrid method is compared to a model-based method for estimating the remaining useful lifetime of the same elements. Suitable performance indices are implemented to underline the differences between the results.}},
author = {{Bender, Amelie and Sextro, Walter}},
booktitle = {{Proceedings of the European Conference of the PHM Society 2021}},
editor = {{Do, Phuc and King, Steve and Fink, Olga}},
keywords = {{Hybrid prediction method, Multi-model particle filtering, Uncertainty quantification, RUL estimation}},
number = {{1}},
title = {{{Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties}}},
doi = {{https://doi.org/10.36001/phme.2021.v6i1.2843 }},
volume = {{6}},
year = {{2021}},
}
@inproceedings{22507,
abstract = {{Several methods, including order analysis, wavelet analysis and empirical mode decomposition have been proposed and successfully employed for the health state estimation of technical systems operating under varying conditions. However, where information such as the speed of rotating machinery, component specifications or other domain-specific information is unavailable, such methods are often infeasible. Thus, this paper investigates the application of classical time-domain features, features from the medical field and novel features from the highly comparative time-series analysis (HCTSA) package, for the health state estimation of rotating machinery operating under varying conditions. Furthermore, several feature selection methods are investigated to identify features as viable health indicators for the diagnostics and prognostics of technical systems. As a case study, the presented methods are evaluated on real-world and experimentally acquired vibration data of bearings operating under varying speed. The results show that the selected features can successfully be employed as health indicators for technical systems operating under varying conditions.}},
author = {{Aimiyekagbon, Osarenren Kennedy and Bender, Amelie and Sextro, Walter}},
booktitle = {{Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021)}},
keywords = {{Wind turbine diagnostics, bearing diagnostics, non-stationary operating conditions, varying operating conditions, feature extraction, feature selection, fault detection, failure detection}},
title = {{{On the applicability of time series features as health indicators for technical systems operating under varying conditions}}},
year = {{2021}},
}
@inproceedings{27111,
abstract = {{In the industry 4.0 era, there is a growing need to transform unstructured data acquired by a multitude of sources into information and subsequently into knowledge to improve the quality of manufactured products, to boost production, for predictive maintenance, etc. Data-driven approaches, such as machine learning techniques, are typically employed to model the underlying relationship from data. However, an increase in model accuracy with state-of-the-art methods, such as deep convolutional neural networks, results in less interpretability and transparency. Due to the ease of implementation, interpretation and transparency to both domain experts and non-experts, a rule-based method is proposed in this paper, for prognostics and health management (PHM) and specifically for diagnostics. The proposed method utilizes the most relevant sensor signals acquired via feature extraction and selection techniques and expert knowledge. As a case study, the presented method is evaluated on data from a real-world quality control set-up provided by the European prognostics and health management society (PHME) at the conference’s 2021 data challenge. With the proposed method, our team took the third place, capable of successfully diagnosing different fault modes, irrespective of varying conditions.}},
author = {{Aimiyekagbon, Osarenren Kennedy and Muth, Lars and Wohlleben, Meike Claudia and Bender, Amelie and Sextro, Walter}},
booktitle = {{Proceedings of the European Conference of the PHM Society 2021}},
editor = {{Do, Phuc and King, Steve and Fink, Olga}},
keywords = {{PHME 2021, Feature Selection Classification, Feature Selection Clustering, Interpretable Model, Transparent Model, Industry 4.0, Real-World Diagnostics, Quality Control, Predictive Maintenance}},
number = {{1}},
pages = {{527--536}},
title = {{{Rule-based Diagnostics of a Production Line}}},
doi = {{10.36001/phme.2021.v6i1.3042}},
volume = {{6}},
year = {{2021}},
}
@article{24788,
author = {{Alhaddad, Samer and Förstner, Jens and Groth, Stefan and Grünewald, Daniel and Grynko, Yevgen and Hannig, Frank and Kenter, Tobias and Pfreundt, Franz‐Josef and Plessl, Christian and Schotte, Merlind and Steinke, Thomas and Teich, Jürgen and Weiser, Martin and Wende, Florian}},
issn = {{1532-0626}},
journal = {{Concurrency and Computation: Practice and Experience}},
keywords = {{tet_topic_hpc}},
pages = {{e6616}},
title = {{{The HighPerMeshes framework for numerical algorithms on unstructured grids}}},
doi = {{10.1002/cpe.6616}},
year = {{2021}},
}
@phdthesis{57315,
author = {{Plaksin, Anna Viktoria Katrin}},
title = {{{Modelle zur computergestützten Analyse von Überlieferungen der Mensuralmusik: Empirische Textforschung im Kontext phylogenetischer Verfahren}}},
doi = {{10.26083/tuprints-00017211}},
volume = {{27}},
year = {{2021}},
}
@inbook{28181,
author = {{de Gruisbourne, Birte and Matzner, Tobias}},
booktitle = {{Hochschule auf Abstand Ein multiperspektivischer Zugang zur digitalen Lehre}},
editor = {{Trier, Ulrike and Schaper, Niclas and Vöing, Nerea and Osthushenrich, Judith and Neiske, Iris}},
pages = {{187--200}},
publisher = {{transcript}},
title = {{{Herausforderungen digitaler Lehre. Eine Perspektive der Care-Ethik}}},
doi = {{.14361/9783839456903}},
year = {{2021}},
}
@article{29293,
author = {{Martin, Sven and Schütte, Jan and Bäumler, C. and Sextro, Walter and Tröster, Thomas}},
issn = {{2666-3597}},
journal = {{Forces in Mechanics}},
publisher = {{Elsevier BV}},
title = {{{Identification of joints for a load-adapted shape in a body in white using steady state vehicle simulations}}},
doi = {{10.1016/j.finmec.2021.100065}},
volume = {{6}},
year = {{2021}},
}
@article{43493,
abstract = {{We consider a measure given as the continuum limit of a one-dimensional Ising model with long-range translationally invariant interactions. Mathematically, the measure can be described by a self-interacting Poisson driven jump process. We prove a correlation inequality, estimating the magnetic susceptibility of this model, which holds for small norm of the interaction function. The bound on the magnetic susceptibility has applications in quantum field theory and can be used to prove existence of ground states for the spin boson model.}},
author = {{Hasler, David and Hinrichs, Benjamin and Siebert, Oliver}},
issn = {{0304-4149}},
journal = {{Stochastic Processes and their Applications}},
pages = {{60--79}},
publisher = {{Elsevier BV}},
title = {{{Correlation bound for a one-dimensional continuous long-range Ising model}}},
doi = {{10.1016/j.spa.2021.12.010}},
volume = {{146}},
year = {{2021}},
}
@article{43465,
abstract = {{We show the existence of ground states in the massless spin boson model without any infrared regularization. Our proof is non-perturbative and relies on a compactness argument. It works for arbitrary values of the coupling constant under the hypothesis that the second derivative of the ground state energy as a function of a constant external magnetic field is bounded.}},
author = {{Hasler, David and Hinrichs, Benjamin and Siebert, Oliver}},
issn = {{0010-3616}},
journal = {{Communications in Mathematical Physics}},
number = {{1}},
pages = {{419--433}},
publisher = {{Springer Science and Business Media LLC}},
title = {{{On Existence of Ground States in the Spin Boson Model}}},
doi = {{10.1007/s00220-021-04185-w}},
volume = {{388}},
year = {{2021}},
}
@inproceedings{24166,
abstract = {{This paper deals with a novel method for the online fitting of a microscopic traffic simulation model to the current state of a real world traffic area. The traffic state estimation is based on limited data of different measurement sources and guarantees general accordance of reality and simulation in terms of multimodal road traffic counts and vehicle speeds. The research is embedded in the challenge of improving the traffic by controlling the traffic light systems (TLS) of the examined area. Therefore, the current traffic state and the predicted route choices of individual road users are the matter of interest. The concept is generally transferable to any road traffic system. To give an impression of the accuracy and potential of the approach, the validation and first application results are presented.}},
author = {{Malena, Kevin and Link, Christopher and Mertin, Sven and Gausemeier, Sandra and Trächtler, Ansgar}},
booktitle = {{2021 IEEE Transportation Electrification Conference & Expo (ITEC)}},
isbn = {{978-1-7281-7584-3}},
publisher = {{IEEE}},
title = {{{Validation of an Online State Estimation Concept for Microscopic Traffic Simulations◆}}},
doi = {{10.1109/itec51675.2021.9490087}},
year = {{2021}},
}
@phdthesis{64765,
author = {{Nikitin, Natalie}},
title = {{{Regularity properties of infinite-dimensional Lie groups and exponential laws}}},
year = {{2021}},
}
@article{62803,
abstract = {{The aim to produce highly active, selective, and long-lived electrocatalysts by design drives major research efforts toward gaining fundamental understanding of the relationship between material properties and their catalytic performance. Surface characterization tools enable to assess atomic scale information on the complexity of electrocatalyst materials. Advancing electrochemical methodologies to adequately characterize such systems was less of a research focus point. In this Review, we shed light on the ability to gain fundamental insights into electrocatalysis from a complementary perspective and establish corresponding design strategies. These may rely on adopting the perceptions and models of other subareas of electrochemistry, such as corrosion, battery research, or electrodeposition. Concepts on how to account for and improve mass transport, manage gas bubble release, or exploit magnetic fields are highlighted in this respect. Particular attention is paid to deriving design strategies for nanoelectrocatalysts, which is often impeded, as structural and physical material properties are buried in electrochemical data of whole electrodes or even devices. Thus, a second major approach focuses on overcoming this difference in the considered level of complexity by methods of single-entity electrochemistry. The gained understanding of intrinsic catalyst performance may allow to rationally advance design concepts with increased complexity, such as three-dimensional electrode architectures. Many materials undergo structural changes upon formation of the working catalyst. Accordingly, developing “precatalysts” with low hindrance of the electrochemical transformation to the active catalyst is suggested as a final design strategy.}},
author = {{Linnemann, Julia and Kanokkanchana, Kannasoot and Tschulik, Kristina}},
issn = {{2155-5435}},
journal = {{ACS Catalysis}},
keywords = {{electrocatalysis}},
number = {{9}},
pages = {{5318--5346}},
publisher = {{American Chemical Society (ACS)}},
title = {{{Design Strategies for Electrocatalysts from an Electrochemist’s Perspective}}},
doi = {{10.1021/acscatal.0c04118}},
volume = {{11}},
year = {{2021}},
}
@article{62806,
abstract = {{The electrical double‐layer plays a key role in important interfacial electrochemical processes from catalysis to energy storage and corrosion. Therefore, understanding its structure is crucial for the progress of sustainable technologies. We extract new physico‐chemical information on the capacitance and structure of the electrical double‐layer of platinum and gold nanoparticles at the molecular level, employing single nanoparticle electrochemistry. The charge storage ability of the solid/liquid interface is larger by one order‐of‐magnitude than predicted by the traditional mean‐field models of the double‐layer such as the Gouy–Chapman–Stern model. Performing molecular dynamics simulations, we investigate the possible relationship between the measured high capacitance and adsorption strength of the water adlayer formed at the metal surface. These insights may launch the active tuning of solid–solvent and solvent–solvent interactions as an innovative design strategy to transform energy technologies towards superior performance and sustainability.}},
author = {{Azimzadeh Sani, Mahnaz and Pavlopoulos, Nicholas G. and Pezzotti, Simone and Serva, Alessandra and Cignoni, Paolo and Linnemann, Julia and Salanne, Mathieu and Gaigeot, Marie‐Pierre and Tschulik, Kristina}},
issn = {{1433-7851}},
journal = {{Angewandte Chemie International Edition}},
keywords = {{single-entity electrochemistry, electrical double layer, supercapacitor, nanoparticles}},
number = {{5}},
publisher = {{Wiley}},
title = {{{Unexpectedly High Capacitance of the Metal Nanoparticle/Water Interface: Molecular‐Level Insights into the Electrical Double Layer}}},
doi = {{10.1002/anie.202112679}},
volume = {{61}},
year = {{2021}},
}
@article{62805,
abstract = {{Single-entity electrochemistry allows for assessing electrocatalytic activities of individual material entities such as nanoparticles (NPs). Thus, it becomes possible to consider intrinsic electrochemical properties of nanocatalysts when researching how activity relates to physical and structural material properties. Conversely, conventional electrochemical techniques provide a normalized sum current referring to a huge ensemble of NPs constituting, along with additives (e.g., binders), a complete catalyst-coated electrode. Accordingly, recording electrocatalytic responses of single NPs avoids interferences of ensemble effects and reduces the complexity of electrocatalytic processes, thus enabling detailed description and modelling. Herein, we present insights into the oxygen evolution catalysis at individual cubic Co3O4 NPs impacting microelectrodes of different support materials. Simulating diffusion at supported nanocubes, measured step current signals can be analyzed, providing edge lengths, corresponding size distributions, and interference-free turnover frequencies. The provided nano-impact investigation of (electro-)catalyst-support effects contradicts assumptions on a low number of highly active sites.}},
author = {{Liu, Zhibin and Corva, Manuel and Amin, Hatem M. A. and Blanc, Niclas and Linnemann, Julia and Tschulik, Kristina}},
issn = {{1422-0067}},
journal = {{International Journal of Molecular Sciences}},
keywords = {{electrocatalysis, oxygen evolution reaction, cobalt spinel, single-entity electrochemistry}},
number = {{23}},
publisher = {{MDPI AG}},
title = {{{Single Co3O4 Nanocubes Electrocatalyzing the Oxygen Evolution Reaction: Nano-Impact Insights into Intrinsic Activity and Support Effects}}},
doi = {{10.3390/ijms222313137}},
volume = {{22}},
year = {{2021}},
}