@inproceedings{27652,
  abstract     = {{Aufgrund der Fortschritte der Digitalisierung finden Systeme zur Zustandsüberwachung vermehrt Einsatz in der Industrie, um durch eine zustandsbasierte oder eine prädiktive Instandhaltung Vorteile, wie eine verbesserte Zuverlässigkeit und geringere Kosten zu erzielen. Dabei beruhen Zustandsüberwachungssysteme auf den folgenden Bausteinen: Sensorik, Datenvorverarbeitung, Merkmalsextraktion und -auswahl, Diagnose bzw. Prognose sowie einer Entscheidungsfindung basierend auf den Ergebnissen. Jeder dieser Bausteine erfordert individuelle Einstellungen, um ein geeignetes Zustandsüberwachungssystem für die jeweilige Anwendung zu entwickeln. Eine offene Fragestellung im Bereich der Zustandsüberwachung ergibt sich aufgrund der Unsicherheit der Zukunft, die sich in den zukünftigen Betriebs- und Umgebungsbedingungen zeigt. Diese Unsicherheit gilt es in allen Bausteinen zu berücksichtigen.
Dieser Beitrag konzentriert sich auf den Baustein Merkmalsextraktion und -selektion, mit dem Ziel anhand geeigneter Merkmale eine Prognose der nutzbaren Restlebensdauer mit hoher Genauigkeit realisieren zu können. Daher werden geeignete Merkmale aus dem Zeitbereich und daraus abgeleitete Zustandsindikatoren für die Restlebensdauerprognose von technischen Systemen vorgestellt. Dabei sind Zustandsindikatoren Kenngrößen zur Beobachtung des Zustands der kritischen Systemkomponenten. Anhand dreier Anwendungsbeispiele wird ihre Eignung evaluiert. Dabei werden Daten aus Lebensdauerversuchen unter instationären Betriebs- und Umgebungsbedingungen ausgewertet. Die auftretenden Unsicherheiten der Zukunft werden somit berücksichtigt. Die Beispielsysteme beruhen auf Gummi-Metall-Elementen und Wälzlagern. Aus den generierten Ergebnissen lässt sich schließen, dass die Zustandsindikatoren aus der betrachteten Zeitreihen-Toolbox auch unter unbekannten Betriebs- und Umgebungsbedingungen robust sind.
}},
  author       = {{Aimiyekagbon, Osarenren Kennedy and Bender, Amelie and Sextro, Walter}},
  booktitle    = {{VDI-Berichte 2391}},
  isbn         = {{978-3-18-092391-8}},
  issn         = {{0083-5560 }},
  keywords     = {{run-to-failure, rubber-metal element, bearing prognostics, non-stationary operating conditions, varying operating conditions, feature extraction, feature selection}},
  location     = {{Würzburg}},
  pages        = {{197 -- 210}},
  publisher    = {{VDI Verlag GmbH}},
  title        = {{{Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten }}},
  year         = {{2021}},
}

@inproceedings{27702,
  author       = {{Helbig, Martin and Haufe, André and Beule, Felix and Aubel, Tobias and Meschut, Gerson and Jamei, Said and Fürle, Fabian and Lossau, Sebastian and Droste, Alexander and Gleich, Hennig and Kose, Kim and Sommer, Daniel and Facciotto, Silvio}},
  booktitle    = {{Vortrag in: automotive CAE Grand Challange}},
  location     = {{Hanau}},
  title        = {{{Modeling of adhesives in crash simulation under consideration of manufacturing processes}}},
  year         = {{2021}},
}

@inproceedings{27703,
  author       = {{Helbig, Martin and Haufe, André and Beule, Felix and Aubel, Tobias and Meschut, Gerson and Jamei, Said and Fürle, Fabian and Lossau, Sebastian and Droste, Alexander and Gleich, Hennig and Kose, Kim and Sommer, Daniel and Facciotto, Silvio}},
  booktitle    = {{Vortrag in: 13th European LS-DYNA Conference}},
  location     = {{Ulm}},
  title        = {{{DigiBody - Optimizing of Joining Technology}}},
  year         = {{2021}},
}

@article{21125,
  author       = {{Kismann, Michael and Riedl, Dr. Thomas and Lindner, Prof. Dr. Jörg KN}},
  journal      = {{Materials Science in Semiconductor Processing}},
  title        = {{{Ordered arrays of Si nanopillars with alternating diameters fabricated by nanosphere lithography and metal-assisted chemical etching}}},
  year         = {{2021}},
}

@article{21195,
  author       = {{Goelz, Christian and Mora, Karin and Stroehlein, Julia Kristin and Haase, Franziska Katharina and Dellnitz, Michael and Reinsberger, Claus and Vieluf, Solveig}},
  journal      = {{Cognitive Neurodynamics}},
  title        = {{{Electrophysiological signatures of dedifferentiation differ between fit and less fit older adults}}},
  doi          = {{10.1007/s11571-020-09656-9}},
  year         = {{2021}},
}

@article{21264,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
                <jats:title>Background</jats:title>
                <jats:p>Hand amputation can have a truly debilitating impact on the life of the affected person. A multifunctional myoelectric prosthesis controlled using pattern classification can be used to restore some of the lost motor abilities. However, learning to control an advanced prosthesis can be a challenging task, but virtual and augmented reality (AR) provide means to create an engaging and motivating training.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Methods</jats:title>
                <jats:p>In this study, we present a novel training framework that integrates virtual elements within a real scene (AR) while allowing the view from the first-person perspective. The framework was evaluated in 13 able-bodied subjects and a limb-deficient person divided into intervention (IG) and control (CG) groups. The IG received training by performing simulated clothespin task and both groups conducted a pre- and posttest with a real prosthesis. When training with the AR, the subjects received visual feedback on the generated grasping force. The main outcome measure was the number of pins that were successfully transferred within 20 min (task duration), while the number of dropped and broken pins were also registered. The participants were asked to score the difficulty of the real task (posttest), fun-factor and motivation, as well as the utility of the feedback.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Results</jats:title>
                <jats:p>The performance (median/interquartile range) consistently increased during the training sessions (4/3 to 22/4). While the results were similar for the two groups in the pretest, the performance improved in the posttest only in IG. In addition, the subjects in IG transferred significantly more pins (28/10.5 versus 14.5/11), and dropped (1/2.5 versus 3.5/2) and broke (5/3.8 versus 14.5/9) significantly fewer pins in the posttest compared to CG. The participants in IG assigned (mean ± std) significantly lower scores to the difficulty compared to CG (5.2 ± 1.9 versus 7.1 ± 0.9), and they highly rated the fun factor (8.7 ± 1.3) and usefulness of feedback (8.5 ± 1.7).</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Conclusion</jats:title>
                <jats:p>The results demonstrated that the proposed AR system allows for the transfer of skills from the simulated to the real task while providing a positive user experience. The present study demonstrates the effectiveness and flexibility of the proposed AR framework. Importantly, the developed system is open source and available for download and further development.</jats:p>
              </jats:sec>}},
  author       = {{Boschmann, Alexander and Neuhaus, Dorothee and Vogt, Sarah and Kaltschmidt, Christian and Platzner, Marco and Dosen, Strahinja}},
  issn         = {{1743-0003}},
  journal      = {{Journal of NeuroEngineering and Rehabilitation}},
  title        = {{{Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis}}},
  doi          = {{10.1186/s12984-021-00822-6}},
  year         = {{2021}},
}

@inproceedings{21280,
  author       = {{Masendorf, Lukas and Wächter, Michael and Esderts, Alfons and Otroshi, Mortaza and Meschut, Gerson}},
  title        = {{{Simulationsbasierte Lebensdauerabschätzung einer stanzgenieteten Fügeverbindung unter zyklischer Belastung}}},
  year         = {{2021}},
}

@inproceedings{21340,
  author       = {{Wende, Marc and Kenig, Eugeny}},
  booktitle    = {{Jahrestreffen der ProcessNet-Fachgruppen Fluidverfahrenstechnik und Wärme- und Stoffübertragung}},
  location     = {{Online-Konferenz}},
  title        = {{{Konzeption und Inbetriebnahme eines Versuchsstandes zur Gravidestillation}}},
  year         = {{2021}},
}

@article{21374,
  abstract     = {{<jats:p>A dark-field scanning transmission ion microscopy detector was designed for the helium ion microscope. The detection principle is based on a secondary electron conversion holder with an exchangeable aperture strip allowing its acceptance angle to be tuned from 3 to 98 mrad. The contrast mechanism and performance were investigated using freestanding nanometer-thin carbon membranes. The results demonstrate that the detector can be optimized either for most efficient signal collection or for maximum image contrast. The designed setup allows for the imaging of thin low-density materials that otherwise provide little signal or contrast and for a clear end-point detection in the fabrication of nanopores. In addition, the detector is able to determine the thickness of membranes with sub-nanometer precision by quantitatively evaluating the image signal and comparing the results with Monte Carlo simulations. The thickness determined by the dark-field transmission detector is compared to X-ray photoelectron spectroscopy and energy-filtered transmission electron microscopy measurements.</jats:p>}},
  author       = {{Emmrich, Daniel and Wolff, Annalena and Meyerbröker, Nikolaus and Lindner, Jörg and Beyer, André and Gölzhäuser, Armin}},
  issn         = {{2190-4286}},
  journal      = {{Beilstein Journal of Nanotechnology}},
  pages        = {{222--231}},
  title        = {{{Scanning transmission helium ion microscopy on carbon nanomembranes}}},
  doi          = {{10.3762/bjnano.12.18}},
  year         = {{2021}},
}

@inproceedings{21376,
  author       = {{Grabo, Matti and Kenig, Eugeny}},
  location     = {{Leipzig}},
  title        = {{{Modellierung eines Latentwärmespeichersystems in Form einer ungeordneten Schüttung makro-verkapselter PCM-Elemente}}},
  year         = {{2021}},
}

@inproceedings{21431,
  author       = {{Chudalla, Nick and Meschut, Gerson and Bartley, Aurélie and Wibbeke, Tim Michael}},
  booktitle    = {{21. Kolloquium: Gemeinsame Forschung in der Klebtechnik}},
  title        = {{{Analyse des Versagensverhaltens geklebter Stahl Verbindungen beim werkstoffschonenden Entfügen in der Karosserieinstandsetzung}}},
  year         = {{2021}},
}

@inproceedings{21442,
  author       = {{Tinkloh, Steffen Rainer and Wu, Tao and Tröster, Thomas and Niendorf, Thomas}},
  keywords     = {{Micromechanics, Fast Fourier Transform (FFT), Reduced Order Modelling, Homogenization}},
  title        = {{{Development of a submodel technique for FFT-based solvers in micromechanical analysis}}},
  year         = {{2021}},
}

@inproceedings{21573,
  author       = {{Heine, Jens and Wecker, Christian and Kenig, Eugeny and Bart, Hans-Jörg}},
  publisher    = {{Jahrestreffen der ProcessNet-Fachgruppe Extraktion}},
  title        = {{{Stofftransportmessung und -visualisierung am ruhenden und bewegten Einzeltropfen}}},
  year         = {{2021}},
}

@inproceedings{21574,
  author       = {{Wecker, Christian and Schulz, Andreas and Heine, Jens and Bart, Hans-Jörg and Kenig, Eugeny}},
  publisher    = {{Jahrestreffen der ProcessNet-Fachgruppe Extraktion}},
  title        = {{{Numerische Untersuchung der Marangonikonvektion in Flüssig-Flüssig-Systemen: Von der Tropfenbildung bis zur Tropfeninteraktion}}},
  year         = {{2021}},
}

@inproceedings{21575,
  author       = {{Wecker, Christian and Hoppe, Anna and Schulz, Andreas and Heine, Jens and Bart, Hans-Jörg and Kenig, Eugeny}},
  publisher    = {{Jahrestreffen der ProcessNet-Fachgruppe Wärme- und Stofftransport}},
  title        = {{{Numerische Untersuchungen zu Fluiddynamik und Stofftransport binärer Tropfeninteraktion unter Berücksichtigung von Marangonikonvektion}}},
  year         = {{2021}},
}

@inproceedings{21576,
  author       = {{Schulz, Andreas and Wecker, Christian and Kenig, Eugeny}},
  publisher    = {{Jahrestreffen der ProcessNet-Fachgruppe Mehrphasenströmung}},
  title        = {{{Mehrkomponenten-Stofftransport an bewegten Phasengrenzflächen unter Berücksichtigung von Diffusionskreuzeffekten}}},
  year         = {{2021}},
}

@article{17744,
  author       = {{Bolenz, Lukas and Fischer, Florian and Toye, Dominique and Kenig, Eugeny}},
  journal      = {{Chemical Engineering Science}},
  title        = {{{Determination of local fluid dynamic parameters in structured packings through X-ray tomography: overcoming image resolution restrictions}}},
  volume       = {{229}},
  year         = {{2021}},
}

@inbook{17905,
  abstract     = {{This chapter concentrates on aspect-based sentiment analysis, a form of opinion mining where algorithms detect sentiments expressed about features of products, services, etc. We especially focus on novel approaches for aspect phrase extraction and classification trained on feature-rich datasets. Here, we present two new datasets, which we gathered from the linguistically rich domain of physician reviews, as other investigations have mainly concentrated on commercial reviews and social media reviews so far. To give readers a better understanding of the underlying datasets, we describe the annotation process and inter-annotator agreement in detail. In our research, we automatically assess implicit mentions or indications of specific aspects. To do this, we propose and utilize neural network models that perform the here-defined aspect phrase extraction and classification task, achieving F1-score values of about 80% and accuracy values of more than 90%. As we apply our models to a comparatively complex domain, we obtain promising results. }},
  author       = {{Kersting, Joschka and Geierhos, Michaela}},
  booktitle    = {{Natural Language Processing in Artificial Intelligence -- NLPinAI 2020}},
  editor       = {{Loukanova, Roussanka}},
  pages        = {{163----189 }},
  publisher    = {{Springer}},
  title        = {{{Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks}}},
  doi          = {{10.1007/978-3-030-63787-3_6}},
  volume       = {{939}},
  year         = {{2021}},
}

@inproceedings{23402,
  author       = {{Bertling, René and Hack, Mathias and Ausner, Ilja and Horschitz, Bernhardt and Kenig, Eugeny}},
  title        = {{{CFD-basierte Untersuchung von Zweiphasenströmungen in strukturierten Packungen}}},
  year         = {{2021}},
}

@inproceedings{23576,
  author       = {{Biemelt, Patrick and Böhm, Sabrina and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC)}},
  location     = {{Melbourne, Australia}},
  pages        = {{1619 -- 1626}},
  title        = {{{Subjective Evaluation of Filter- and Optimization-Based Motion Cueing Algorithms for a Hybrid Kinematics Driving Simulator}}},
  year         = {{2021}},
}