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VDI Wissensforum GmbH - International Conference on Gears 2019

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VDI Wissensforum GmbH (Hrsg.)

International Conference on Gears 2019

Reihe: VDI-Berichte

Band 2355 2019

Treffer in den folgenden Teilen:

B. Schlecht, T. Schulze Improved tooth contact analysis by using virtual gear twins – How helpful is AI for finding best gear design? S. 203-216

„… to solve the task Using the machine learning method, the previously created neural networks are …” „… following questions can be answered by machine learning [9]: - Is this A or B? - Is this weird? - How …” „… machine learning In the research presented here, the focus is not on the programming and creation of …”

B. H. Kien, D. Iba, Y. Ishii, Y. Tsutsui, N. Miura, T. Iizuka, A. Masuda, A. Sone, I. Moriwaki Vibration-based plastic gear crack detection system using a pre-learned convolutional neural network S. 1443-1452

„… development of safety machine systems. Despite the accumulation of much knowledge about metal gear monitoring …” „… learning provides useful tools for processing and analyzing big machinery data. This motivated us to …” „… transfer learning technique. The accuracy rate approached 99% on training data set and 100% on testing …”

R. Slatter Condition monitoring of gearboxes using magnetoresistive sensors S. 229-244

„… will permit the implementation of machine learning and feature extraction functions close to the …” „… [34] Mangler, A.: Machine Learning und Embedded Analytics: Sensorfusion auf Mikrocontroller …” „… models, which rely on high machine availability. This depends, in turn, on effective predictive …”

B. Azzam, F. Harzendorf, R. Schelenz, G. Jacobs, W. Holweger White etching crack bearing failure: identification of high risk lubricant compounds using artificial neural networks S. 569-582

„… investigation follows a novel approach using machine learning techniques combined with an industrial analytics …” „… investigation follows a novel approach using machine learning techniques combined with an industrial analytics …” „… that it allows for testing the machine learning algorithm with the chosen hyper parameters on every …”

A. Carbonelli Transferring knowledge about gear systems to machines in order to improve diagnosis efficiency S. 1065-1076

„… rise of Machine Learning technology is a new tool to improve efficiency of predictions and simulations …” „… . Introduction We are entering a new era with the rise of Machine Learning (ML) techniques and the Big Data …” „… investigations on how to combine fewer indicators without losing information and using Machine Learning to deal …”

Y. Hawwari, J. Touzet, H. Andre, H. I. Cakar, I. Khelf, L. Alloin Ring gear tooth cracks detected using instantaneous angular speed: wind turbine application S. 1039-1052

„… conditions. This may lead to misleading indicators results. Thus, this was overcome by a machine learning …” „… integer) of cycles is attained. This is differs from the temporal approach particularly for the machines …” „… angular speed of a machine using the vibration signal only. Top left: vibration signal. Top right …”

M. R. Mauntz, J. Peuser Deep online oil analysis of dielectric parameters for life time enhancement of industrial gearboxes – Identification of critical operation conditions for reduction of failure rates S. 245-256

„… machines is to exchange the oil depending on a clear schedule based on operating hours of the …” „… holistic approach of real-time monitoring of changes in the oil-machine system. VDI-Berichte Nr. 2355 …” „… cannot be assumed to be known. To improve the comparability of measurements, a self-learning adaptive …”

Y. Cai, L. Yao, J. Ding, S. Ouyang, J. Zhang Analysis of dynamic transmission error for nutation drive with double circular arc gears under assembly errors and different loads S. 343-354

„… for nutation drive mechanism, their methods are worth learning. The purpose of this paper is to …” „… damping: Based on experimental transmission error. Mechanism and Machine Theory, 2014, 74:354-369. [3] B …” „… dynamic investigation of wide-faced cylindrical geared rotor systems. Mechanism and Machine Theory, 2019 …”

J.-A. Meis, F. Teklote, M. Borowski Simulation of the tooth root strength under consideration of material quality, finishing process and size effects S. 161-172

„… size effects in the tooth root utilizing machine learning methods. In the following the model and the …” „… , internal document of Flender GmbH. [8] Investigation of the tooth root strength using machine learning …”

B. van Wissen, M. Kanters, F. Mitsuzuka, K. Iwanaga, Ir. A. Hasanovic Predicting wear for high performance plastic gears S. 1323-1334

„… . Here we present our main learnings from the attempt to connect the experimental results on the D2D …” „… of 12 (ISO 1328). A custom-built machine was used to perform durability tests. It consists of two …” „… on a custom-built machine, based on a twin-disc test rig, the so-called Disc-to-Disc (D2D) setup …”

S. Nowoisky, M. Grzeszkowski, C. Guhmann, J. G. Pelham Monitoring concept study for aerospace power gear box drive train S. 269-286

„… ] Bishop, Christopher M. (2009): Pattern recognition and machine learning. Corr. at 8. print. New York, NY …” „… the input for classifiers. The Support Vector Machine classifier offered good results for the …”

doi.org/10.51202/9783181023556

VDI Wissensforum GmbH - LAND.TECHNIK 2020

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VDI Wissensforum GmbH (Hrsg.)

LAND.TECHNIK 2020

Reihe: VDI-Berichte

Band 2374 2020

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P. Riegler-Nurscher, J. Prankl, M. Vincze, H. Prankl A review on plant and soil properties estimation using ground-based computer vision techniques in the visible spectrum S. 353-360

„… years. Reasons for this are improvements in hardware and algorithms such as machine learning, that make …” „… on the agronomic task to be solved. Most of the methods are based on machine learning. Within …” „… recent years a strong trend towards deep neural network based machine learning methods, especially …”

S. Jordan, D. O’Rourke, L. Avery, J. Almond 3D Colour vision for machine automation and safety – AI Sensor Fusion S. 345-352

„… 3D Colour vision for machine automation and safety AI Sensor Fusion Simon Jordan, Douglas …” „… machines become more automated, and eventually autonomous, the safety case becomes more important. However …” „… agricultural machine. The automotive industry has solutions for on-road vehicles such as lidar, radar and …”

S. Tanner Experience gained in developing Autonomous Robots using AI and spot spraying to weed open field crops S. 213-222

„… . Indeed, to facilitate training, whether based on traditional machine learning or on Convolutionary …” „… machine learning technique as plant classifier. In 2018, CNN classifier was introduced, improving the …” „… machines equiped with a real-time plant classification system, and a centimeter-precision spot spraying …”

H. Bernhardt, M. Bozkurt, E. Colangelo, J. HorstmannM. Kraft, J. Marquering, T. Steckel, H. Tapken, C. Westerkamp, C. Weltzien Industry 4.0 and Agriculture 4.0 – The same or different? S. 167-174

„… networking. Instead of managing different machines, sensors, etc. individually as in the past, Industry 4.0 …” „… employee-oriented organisation of work. Automated knowledge and learning: increasing the amount of data and the …” „… level of automation in Industry 4.0 environments prove to be ideal conditions for using self-learning …”

S. Steinhaus, L. Frerichs A novel approach to determine the soil aggregate size distribution from high-resolution 3D point clouds S. 361-368

„… novel approach, applying machine learning methods, allows the non-invasive determination of the size …” „… developed by [7] from the field of unsupervised learning in machine learning is based on different spatial …” „… – Institute of Mobile Machines and Commercial Vehicles, Braunschweig Abstract The soil aggregate size …”

T. Stein Automatic logging and situation-related evaluation of manufacturer independent machine data S. 47-54

„… field work by machine learning approach, which uses the calculated work width and machine speed. After …” „… Automatic logging and situation-related evaluation of manufacturer independent machine data …” „… optimization of machine utilization are also addressed. In 3 years almost 10.000 hours of work processes from …”

H. Wanta, M. Holovac, S. Lorenz, J. Krzywinski Evaluation of Human-Machine Interactions with Autonomous Agricultural Systems through Cyber-physical Prototypes S. 245-266

„… Evaluation of Human-Machine Interactions with Autonomous Agricultural Systems through …” „… a constantly increasing demand for agricultural products. Especially autonomous machines have the …” „… machine processes and operation tasks which require new solutions for human-machine interaction and …”

I. Schröter, M. Keppmann, M. Mergenthaler, J. Stiegemann The application of mobile eye-tracking to improve the usability of touch terminals for farm vehicles: an example S. 233-244

„… Abstract Human-machine interfaces are subject to continuous refinement aiming to improve usability and …” „… agricultural machines and thus for investigating aspects of UX. The fast and confident execution of the tasks …” „… subsystems of agricultural machines require effective, intuitive, and efficient operator terminals. Therefore …”

F. Mörth, J. Pfeil Legal Risks and Chances of Automation in Agriculture – Is EU regulation stifling or promoting innovation? S. 93-102

„… automation technologies in agriculture. The safety requirements for machines are specifically regulated in …” „… agricultural machines is of considerable importance. It is to be noted that the rules and regulations listed …” „… . This is most notably the case when “intelligent” technologies are leveraged, such as AI (e.g. Machine …”

H. Battke, Andreas Muskolus Remote Sensing im Feldversuchswesen S. 267-286

„… . Machine-Learning basierte Klassifizierungsmethoden werden zu einem maschinellen Verständnis in digitalen Karten und …”

doi.org/10.51202/9783181023747

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VDI Wissensforum GmbH (Hrsg.)

Automation 2021

Reihe: VDI-Berichte

Band 2392 2021

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S. Baer, S. Pol, D. Turner, F. Baer, T. Meisen Scaling a Reinforcement Learning Approach for Online Job Shop Scheduling in Flexible Manufacturing Systems to Various Products S. 505-516

„… machine types: An ontology-based, multi-agent reinforcement learning approach, ”Procedia CIRP, vol. 57 …” „… , “Asynchronous methods for deep reinforcement learning,” in International Conference on Machine Learning2016, pp …” „… Abstract In this article, we present our results of using deep reinforcement learning to implement …”

R. Kremser, N. Grabowski, D. Tutsch, R. Düssel, A. Mulder Comparison of different spike detection methods in Hall-Héroult cells S. 763-0

„… this paper different spike detection methods such as machine learning algorithms and expert systems …” „… millivolt fork is still required. 3. Data Selection, Preprocessing and Labeling In machine learning the …” „… downsample the majority class or third using cost-sensitive machine learning algorithms [21]. Using …”

I. Amihai, R. Gitzel, A. Boyaci Compression and Fault Diagnosis of High Frequency Sensor Data S. 545-556

„… many benefits for machine learning algorithms, can be applied to any kind of signal, and is especially …” „… into a compressed meaningful representation before they can be used in machine learning and statistical …” „… machine learning algorithms would naturally perform better when their input resembles their training data …”

D. Díez Álvarez, U. Berger AIQIIA: General AI Quality Inspector for Industrial Applications S. 491-504

„… networks. In: Proceedings of machine learning research 70, p. 2554. [6] Santoro, A. et al. (2016 …” „… ) Meta-learning with memory-augmented neural net-works. In: International conference on machine learning. pp …” „… convolutional neural networks. In: International Conference on Machine Learning (pp. 6105-6114). PMLR …”

V. Gowtham, A. Willner, W. Pilar von Pilchau, J. Hähner, M. Riedl, N.-S. Koutrakis, J. Polte, E. Uhlmann, J. Tayub, V. Frey A Reference Architecture enabling Sensor Networks based on homogeneous AASs S. 5-16

„… integration: The handling of routines on the cloud layer, e.g. data analytics or machine learning, as assets …” „… easier to apply concepts like condition monitoring and machine learning. Condition monitoring for …” „… , DT has also embraced machine learning. [22]. There is an evolving trend of industries seeking Cyber …”

S. Janzen, N. Öksüz, J. Sporkmann, M. Schlappa, J. Gerhard, L. Ortjohann, P. A. Becker Smart Resilience Services for Industrial Production S. 621-636

„… , B., & Rahmani, F. M. (2019). Artificial Intelligence Driven Resiliency with Machine Learning and …” „… , 12. Dezember). Measuring Resilience in Artificial Intelligence and Machine Learning Systems …” „… . Ortjohann, Machine Tools and Production Engineering, RWTH Aachen University, Aachen; P. A. Becker, deZem …”

G. Steinhagen, M. Banf Flexible On-Premises Datenanalyse für KMU S. 637-648

„… (IoT) und neuartiger Lernalgorithmen aus dem Bereich des Machine Learnings, erleben wir eine …” „… Statistik und des Machine Learnings verwendet werden, um z.B. Defekte in Werkstücken zu erkennen (quality …” „… maintenance). Innerhalb des Machine Learnings selbst lassen sich ebenfalls zwei große Methodenbereiche …”

N. Öksüz, S. Bouschery, M. Schlappa, J. Sporkmann, M. Unterberg Towards an Artificial Intelligence based Approach for Manufacturing Resilience S. 649-664

„… Nr. 2392, 2021654 es. Our approach aims to use methods of machine learning to find patterns regarding …” „… influence on relevant KPIs in a specific company. Step 3: Model Machine learning (ML) as a subset of …” „… as the output variable in our machine learning model. The on-time delivery of goods can be …”

D. Schulze-Zipper, W. Mahnke, D. Gerlach, J. Neubauer OPC-UA-Applikationserkennung in Software-defined Networks für Industrie 4.0 S. 725-736

„… Machine-Learning-gestützten Klassifikator statistische Paket- und Verbindungseigenschaften. Im Rahmen der betrachteten …” „… eine OPC-UA-Anwendungserkennung vorgestellt, welche auf Machine Learning basiert. Hierbei kamen …” „… Two-Phased Machine Learning Approach. 2016 [7] J. Ohms, M. Böhm, D. Wermser, M. Meier, D. Schulze, M. Riedl …”

S. Merkelbach, L. Urbas, J. Gatter, R. Tan, M. Gärtler, R. Gedda, F. D. Bähner Automatic Detection of Start and End Times of Batch Phases for the Process Industry S. 477-490

„… complexity. Given the inherent reproducibility of nominally executed batch phases, Machine Learning methods …” „… Machine Learning (ML): ML has no intrinsic understanding of batch process constraints and dynamics …” „… : 10.1016/j.sigpro.2019.107299. [12] F. Pedregosa et al., “Scikit-learn: Machine Learning in Python,” J …”

N. Franchi, P. Schulz, G. Fettweis, A. Weinand, D. Lindenschmitt, H. Schotten, N. Bulk, F. Bittner, A. Dekorsy, L. Underberg, L. Rauchhaupt Das Industrial Radio Lab Germany – Vier Standorte, eine Mission S. 183-196

„… (Empfangsleistung, Kanalschätzung) und zwei Lösungsansätzen (modellbasiert, Machine-Learning) unterschieden. Die …” „… Erweiterung des Lokalisierungsalgorithmus durch Trackingfunktionen. Machine Learning wird als potentielle …” „… gleichzeitig niedriger Komplexität angesehen. Aktuelle Arbeiten am IRL Dresden nutzen einen Deep-Learning …”

J. Fischer, R. Rosen, F. G. Listl, A. Sohr, J. C. Wehrstedt Assistenzsysteme der nächsten Generation für Produktionssysteme S. 461-476

„… . In [12] wird ein Assistenzsystem auf Basis von Machine Learning Algorithmen, genauer gesagt …” „… gemeinsame Nutzung von Machine Learning, Optimierung, Simulation sowie Domänen-Modellen umgesetzt. Die Daten …” „… decision support system for production planning based on machine learning“, J. Intell. Manuf., Bd. 31, Nr …”

S. Kamm, N. Jazdi, M. Weyrich Automatisierte Datenintegration für den Fehleranalyseprozess von Halbleiterbauelementen mithilfe von Ontologien und Graphen S. 585-598

„… Fehleranalyse zu vereinfachen bzw. zu automatisieren, z.B. mithilfe von Machine Learning Algorithmen [14 …” „… durch einen Experten oder automatisiert, z.B. durch ein Machine Learning Modell [26], durchgeführt …” „… Computing (ICSC), 2016, pp. 382– 385. [26] B. Maschler et al., “Deep industrial transfer learning at …”

C. Härle, M. Barth, A. Fay Betriebsparallele Adaption einer Co-Simulation für diskrete Fertigungsanlagen S. 517-534

„… Informatics 11(3), 812-820, 2015. [14] Thyago P. et al.: „A systematic literature review of machine learning …” „… of discrete manufacturing machines,“ in Research in Engineering Design 29, 621–641, Springer-Verlag …” „… Conference on Emerging Technologies and Factory Automation, 2008. [13] Susto, G. A. et al.: „Machine …”

Titelei/Inhaltsverzeichnis

„… Scaling a Reinforcement Learning Approach for Online Job Shop Scheduling in Flexible Manufacturing …” „… Parts Jena GmbH, Jena; L. Ortjohann, Machine Tools and Production Engineering, RWTH Aachen University …” „… of Management, Vallendar; M. Unterberg, Laboratory for Machine Tools and Production Engineering …”

M. Thies, T. Miny, T. Kleinert Ein Konzept für Produkt-Verwaltungsschalen zur Produktbezogenen Integration von Produktionsdaten für die Qualitätsoptimierung S. 405-420

„… . Einleitung Bereits seit einiger Zeit werden Methoden des Data Minings und Machine Learnings für die …” „… . Wrobel, „A review of machine learning for the optimization of production processes“, Int J Adv Manuf …”

N. Maisch, M. Both, J. Müller Interoperable Interaktionen semantisch heterogener Industrie 4.0 Komponenten auf Basis einer Capability Ontologie für die Technische Gebäudeausrüstung S. 691-704

„… Anwendungen kann die entwickelte Ontologie als Referenzwissensbasis dienen, um Machine Learning-Modelle zu …” „… : 25.04.2021 [29] Both, M. u. Müller, J.: Deep Learning in Industrie 4.0 Umgebungen als Wegbereiter für …”

D. Patel, A. Hoell, T. Schildknecht, E. Eberhardt, V. Seelman, P. Becker, M. Stumpert A look inside functional safety over 5G S. 155-168

„… enable the use of emerging technologies, such as machine learning based navigation. These result in …” „… efficient a safe communication between AGV and his environment (e.g. machine in docking operation, other …” „… wireless networks. Without such a procedure fieldbus errors will occur causing machine downtime whenever a …”

doi.org/10.51202/9783181023921

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Konstruktion

Alle Ausgaben: Konstruktion

Konstruktion Jahrgang 75 (2023) Heft 03 ISSN Online: 0720-5953

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KI verbessern S. 75

„… verstehen, warum ein Machine-Learning-Algorithmus bestimmte Fehler macht, zählt zu den wesentlichen …” „… . Sie haben eine Software entwickelt, mit der Schwächen in hochkomplexen Machine-Learning …” „… Machine-Learning-Algorithmus auf Fehler zu analysieren und diese Fehler einzeln aufzulisten. Dann war es Aufgabe von Experten …”

doi.org/10.37544/0720-5953-2023-03

Oliver Müller - Graphical Model MAP Inference with Continuous Label Space in Computer Vision

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Oliver Müller

Graphical Model MAP Inference with Continuous Label Space in Computer Vision

Reihe: Informatik/ Kommunikation

Band 860 2018

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Bibliography S. 128-146

„… machine learning. Machine Learning, 50(1-2):5– 43, 2003. [4] Mykhaylo Andriluka, Stefan Roth, and Bernt …” „… learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2011. [6] Shai Bagon …” „… via the alternating direction method of multipliers. Foundations and Trends in Machine Learning …”

Fundamentals S. 25-55

„… ]. One of the most important inference tasks to the computer vision and machine learning community is …” „… machine learning. 46 Chapter 3 Fundamentals Monte-Carlo simulation is a sampling based approach to …” „… and to construct efficient inference and learning algorithms. A random variable X is independent of …”

Related Work S. 15-24

„… . This approach has gained high popularity in the machine learning community since the global inference …” „… tracking is the discipline of tracking arbitrary objects agnostic of its class while learning the object …”

Tracking S. 78-106

„… update step performs learning using the current (and possibly past) frame and the predicted poses …” „… previously unseen image frames. The update step performs a model update, i.e. learning. This step is crucial …” „… sophisticated online learning mechanisms. This comes at the price of high computational complexity and poor …”

doi.org/10.51202/9783186860101

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