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VDI Wissensforum GmbH (Hrsg.)

SIMVEC 2022

Reihe: VDI-Berichte

Band 2407 2022

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N. Klinke, F. Schewe, B. Scholemann On the application of machine learning for the prediction of feasibility and thermal performance of cooling plates for battery electric vehicles S. 543-554

„… On the application of machine learning for the prediction of feasibility and thermal performance of …” „… is used to train machine learning algorithms. Next to classical parametric approaches, we also …” „… to enable automatic design optimization and faster manual design. Advanced machine learning …”

F. Chinesta, R. Magg Empowering car design, maintenance and operation from advanced model order reduction and AI technologies S. 523-534

„… . The recent advances in data-science, artificial intelligence and machine learning, expand the domain …” „… physics-aware machine learning techniques [9-11] that allows increasing accuracy while reducing the amount of …” „… , where separated representations combined with physics-aware machine learning performs very well.  Even …”

A. Backes Globales Systemverständnis von Simulationsmodellen durch Maschinelles Lernen S. 563-570

„… , O’Reilly, 2. Auflage 2018 [3] Einführung in Machine Learning mit Python Andreas C. Müller, Sarah Guido …” „… , O’Reilly, 2017 [4] Machine Learning Kochbuch Chris Albon, O’Reilly, 2019 [5] Deep Learning mit Python …” „… Definition von Meta-Modellen. Dabei sind die bekannten neuronalen Netze ( Deep Learning) eher für sehr große …”

A. Tuschkan, C. Simon, A. Palmisano, M. Živadinović, C. Aras, W. Ratzke, A. Belnarsch Batterieanalyse in der Elektromobilität – Ein Einblick in Methoden zur Batterieanalyse und Alterungsprädiktion bei elektrischen Fahrzeugflotten durch Kombination von konventionellen Ansätzen und masch... S. 103-118

„… Lernen Combining conventional and machine learning approaches to predict battery degradation based on …” „… mehrere Fahrzeuge hinweg mithilfe datenge-triebener Modelle und Machine Learning Algorithmen zu ermitteln …” „… Mo-dellen [19], werden hierfür in der Literatur vermehrt Machine Learning (ML) - basierte Model-lansätze …”

B. P. van de Weg, L. Greve, B. Rosic Surrogate modelling for finite element simulations Towards a stochastic surrogate approach S. 555-562

„… application of machine learning-derived surrogate models to substitute finite element method (FEM) driven …” „… of Machine Learning Research, pp. 1929-1958, 2014. [6] S. Kullback and R. A. Leibler, "On …” „… . Rosic, "Long short-term relevance learning," ArXiv, 2021. [2] L. Greve, B. Schneider, T. K. Eller, M …”

J. Garcke, R. Iza-Teran, M. Pathare, D. Steffes-lai, P. Schwanitz Identifying similarities and exceptions in deformations and mesh functions – Comparing many simulation results automatically S. 277-288

„… intelligence (AI) methods to manage the evaluation complexity. Specifically, machine learning has gotten …” „… possible data analysis application. But, existent machine learning methods are not easily applicable to the …” „… analysis workflow. Our workflow applies novel machine learning approaches to provide an overview over many …”

S. Scheidel, M. Goll, M. Tandl, B. Reiter, R. Neubauer Simulationsbasierte Wirkungsgradoptimierung einer Hochtemperatur Co-Elektrolyse zur e-Fuel Produktion S. 129-142

„… parameters, the simulation model is coupled with a combined design of experiments (DoE) and machine learning …” „… Simulationsmodell mit einer kombinierten Design of Experiments (DoE) und Machine Lear-ning (ML) Methodik gekoppelt …” „… with the benefits of machine learning and online optimization. The schematics or this approach are …”

L. Burger, V. Dörlich, M. Burger Datenbasierte Schätzung von Kabelbündelsteifigkeiten mittels Gauß-Prozess-Regression S. 143-156

„… , or machine learning, to estimate effective cable bundle stiffnesses based on easy to measure cable …” „… Machine Learning. The MIT 187 Press, Cambridge, London. www.GaussianProcess.org/gpml [7] Barber, D. (2012 …” „… ): Bayesian Reasoning and Machine Learning. Cambridge University Press. [8] Ebden, M. (2008): Gaussian …”

L. Stütz, T. König, M. Kley Testing of the tire modelling for a vehicle dynamics simulation on a Road-To-Rig test rig S. 185-196

„… transmission utilizing machine learning methods. Procedia Computer Science 192 (2021), pp. 417–426, doi …” „… electric drive unit utilizing methods of machine learning. Applied Computer Science 17 (2021) 4, pp. 5–19 …” „… of the test rig consisting of the frequency converter (FC) and the load machine (LM). There is an …”

Titelei/Inhaltsverzeichnis

„… of machine learning for the prediction of feasibility and thermal performance of cooling plates for …” „… : Empowering Engineering Organizations with Deep-Learning – Applications to a faster transition towards e-drive …”

P. Schwanitz, L. Greve, F. Moldering Towards AI Based REcommendations for Design Improvement (AI-B-REDI) – A joint research project of Volkswagen, Audi, Porsche, Fraunhofer SCAI, SCALE GmbH and SIDACT GmbH S. 299-314

„… measures. Ultimately this shall enable machine learning-based suggestions for measures that might be …” „… – SCALE.model (LoCo) In order to apply different machine learning methods, the documentation of input design …”

M. Styrnik Data Analytics für die robuste Fahrzeugauslegung unter Berücksichtigung von Fertigungsstreuungen S. 337-348

„… bei automatisierten Machine Learning Verfahren zum Einsatz kommt. Zunächst sollte man jedoch …”

M. Hofmann, M. Voigt, C. Barchanski, H. Rudolf, F. Mantwill, R. Schulte Methode zum Vergleich von Baugruppen im Karosseriebau mittels Graphdatenbanken S. 157-168

„… ] Vijaymeena, M.K.; Kavitha, K.: A Survey on Similarity Measures in Text Mining. In: Machine Learning and …”

M. Thiele, T. Gerlinger Simulation Data Management from CAD to Results for large LEGO® Crash Models S. 349-370

„… even create a TensorFlow machine learning model and generate 3D visualizations for these meta models …”

doi.org/10.51202/9783181024072

VDI Wissensforum GmbH - International Conference on Gears 2022

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VDI Wissensforum GmbH (Hrsg.)

International Conference on Gears 2022

Reihe: VDI-Berichte

Band 2389 2022

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M. Weigand Smart and intelligent chip detectors using machine learning to monitor wear particles and dangerous degradation of critical powertrain components S. 995-998

„… Smart and intelligent chip detectors using machine learning to monitor wear particles and dangerous …” „… a forthcoming critical damage. The new sensor system is supported by machine learning and provides …” „… collaboration with TU Wien. The research unit of Machine Elements and Transmissions for Aviation offers …”

T. Konig, M. Kley, F. Wagner, M. Liebschner Enhanced damage classification on transmissions by generating synthetic data with Generative Adversarial Networks (GAN) S. 227-238

„… machine learning algorithms. The generation of a sufficient amount of data per condition class is relevant …” „… and time-consuming in practice. However, for the implementation of machine learning algorithms to …” „… not adequate for machine learning algorithms to classify measurement data. The focus of this work is …”

B. H. Kien, D. Iba, Y. Tsutsui, Y. Lei, D. Taga, N. Miura, T. Iizuka, A. Masuda, I. Moriwaki Plastic gear remaining useful life prediction using artificial neural network S. 951-956

„… making predictions when failure happens. Additionally, with the achievements of deep learning algorithms …” „… learning have become more attractive [1]. In previous works, we considered a diagnostic system for plastic …” „… gear using deep learning approaches [2]. Thus, VDI-Berichte Nr. 2389, 2022 951in this paper, we …”

Titelei/Inhaltsverzeichnis

„… machine learning to monitor wear particles and dangerous degradation of critical powertrain components …” „… ., Quebec, Canada;F. Mieth, Institute of Machine Elements and Machine Design (IMM), Faculty of Mechanical …” „… of Machine Elements and Machine Design (IMM), Faculty of Mechanical Science and Engineering …”

X. Zheng, Y. Hu FE analysis and predication on the traveling wave – resonance of aero-gears S. 915-926

„… samples for Kriging model learning, based on Latin square design, 20 groups of designs of damping ring and …” „… Machine Theory，2011，46：544-557. [8] EI Morsy, Achtenova Gabriela. Application of Order Analysis for Gear …”

doi.org/10.51202/9783181023891

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VDI Wissensforum GmbH

Dritev 2024

Reihe: VDI-Berichte

Band 2433 2024

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M. Hermanns, M. Derksen, S. Rothe, H. Hetzler Optimization of the Electric Powertrain using Machine Learning Methods S. 303-316

doi.org/10.51202/9783181024331

Sun Danfeng - Distributed Edge Intelligence Enabled Wireless Communication Systems Serving Industrial Applications

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Sun Danfeng

Distributed Edge Intelligence Enabled Wireless Communication Systems Serving Industrial Applications

Reihe: Mess-, Steuerungs- und Regelungstechnik

Band 1278 2022

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Bibliography S. 87-108

„… , Huan Ren, Xu Li, Wei Chen, and Zhu Han. Machine learning-based spec-trum efficiency hybrid precoding …” „… : Current issues and machine learning-assistedsolutions. IEEE Communications Surveys & Tutorials …” „… , 1(1):14–23, 2011.[34] J. Ross Quinlan. Induction of decision trees. Machine learning, 1(1):81–106, 1986.[35 …”

Related Work S. 6-23

„… machine learning-based methodusing channel matrices[144] SVMTo avoid clone and Sybil at-tacks on …” „… of machine learning-based methods172 Related Work(i.e., ST, SVM, kNN, BT) to classify whether an …” „… authentication metric is legitimate or illegit-imate. They concluded that the machine learning-based methods had …”

Titelei/Inhaltsverzeichnis

„… multiple-outputMTC Machine-type communicationMTL Multi-tasking learningMSE Mean squared errorMultiface …” „… Intelligence Domains . . . . . . . . . . . . . . . . . . . . . . . 72.1.3 Mainly Involved Machine Learning …” „… learningSL Supervised learningSLA System level assessmentSLINK Single-link algorithmSM Number of sent …”

Introduction S. 1-5

„… machines is detailed to depict the challengesand requirements more clearly, see Fig. 1.1. In this factory …” „… Bluetooth. Then typicalfour requirements are introduced following the injection molding machine …” „… . Low-latency: The injection molding machine is commonly controlled by a programmablelogic controller (PLC …”

Dependability Assessment S. 24-46

„… machinelearning models. As discussed in Chapter 2, machine learning can be divided into supervised,unsupervised …” „… 0.3.1.5 Unsupervised Learning Process and Knowledge-basedProcessTo show machine learning contributions on …” „… branchesof unsupervised learning: dimension reduction and clustering. This model basically showshow a machine …”

Distributed Edge Intelligence for Dependability Assessment and Spectral Efficiency Optimization S. 70-82

„… 1 and 100, respectively. The batch size indicates the degreeof parallel execution of a machine …” „… learning model. It can be seen that the ideal item canbe always better than the single time, while when the …”

doi.org/10.51202/9783186278081

VDI Wissensforum GmbH - Dritev – Drivetrain For Vehicles 2019

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VDI Wissensforum GmbH (Hrsg.)

Dritev – Drivetrain For Vehicles 2019

Reihe: VDI-Berichte

Band 2354 2019

Treffer in den folgenden Teilen:

A. Lampe, R. Serway, L. Große Siestrup, C. Gühmann Artificial intelligence in transmission control – Clutch engagement with reinforcement learning

„… function. This paper presents and discusses reinforcement learning as a machine learning process in the …” „… . 1 Introduction There have been rapid developments in the field of machine learning recently, due to …” „… source frameworks encourage researchers and engineers to apply machine learning to their specific …”

C. Möser, T. Märkle, K. Hornung Effective acoustic development of electrified powertrains – Combination of simulation and evaluation methods

„… Python, through to machine learning. It creates system understanding, and helps in developing efficient …” „… based on machine-learning parameters. Otherwise, ANSA functions are mainly activated. In post-processing …” „… Python. It also employs state-of-the-art methods such as machine learning. The results produced are …”

doi.org/10.51202/9783181023549

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