TY - CHAP A1 - Thakur, Akshay A1 - Beck, Robert A1 - Mostaghim, Sanaz A1 - Großmann, Daniel T1 - Machine Learning for evaluating Kaizens in Volkswagen Production System - An Industrial Case study T2 - Proceedings: 2020 IEEE 7th International Conference on Data Science and Advanced Analytics: DSAA 2020 UR - https://doi.org/10.1109/DSAA49011.2020.00114 KW - supervised machine learning KW - Kaizen KW - best practices evaluation KW - clustering KW - production system Y1 - 2020 UR - https://doi.org/10.1109/DSAA49011.2020.00114 SN - 978-1-7281-8206-3 SP - 781 EP - 782 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Schmied, Sebastian A1 - Großmann, Daniel A1 - Mathias, Selvine George A1 - Banerjee, Suprateek T1 - Vertical integration via dynamic aggregation of information in OPC UA T2 - Intelligent Information and Database Systems UR - https://doi.org/10.1007/978-981-15-3380-8_18 KW - OPC UA KW - interoperability KW - aggregation Y1 - 2020 UR - https://doi.org/10.1007/978-981-15-3380-8_18 SN - 978-981-15-3379-2 SN - 978-981-15-3380-8 SN - 1865-0929 SN - 1865-0937 N1 - Access to this content is enabled by Nationallizenz Ebooks Medicine SP - 204 EP - 215 PB - Springer CY - Singapur ER - TY - CHAP A1 - Banerjee, Suprateek A1 - Großmann, Daniel T1 - OPC UA and Dynamic Web Services - A generic flexible Industrial Communication Approach T2 - ICCAE 2019: Proceedings of the 2019 11th International Conference on Computer and Automation Engineering UR - https://doi.org/10.1145/3313991.3313996 KW - automation KW - OPC UA KW - web services KW - vertical integration KW - internet of services KW - industrial internet of things Y1 - 2019 UR - https://doi.org/10.1145/3313991.3313996 SN - 978-1-4503-6287-0 SP - 114 EP - 117 PB - ACM CY - New York ER - TY - CHAP A1 - Mathias, Selvine George A1 - Mancha, Mathew John A1 - Großmann, Daniel A1 - Kujat, Bernd A1 - Schiebold, Kay T1 - Investigations on numerical techniques for detecting variations in acoustic emissions T2 - IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society UR - https://doi.org/10.1109/IECON48115.2021.9589074 KW - acoustic emissions KW - Gaussian mixture model KW - self-organizing map KW - comparison Y1 - 2021 UR - https://doi.org/10.1109/IECON48115.2021.9589074 SN - 978-1-6654-3554-3 PB - IEEE CY - Piscataway (NJ) ER - TY - CHAP A1 - Schmied, Sebastian A1 - Großmann, Daniel A1 - Mathias, Selvine George A1 - Mueller, Ralph T1 - An approach for an industrial information model management T2 - Proceedings, 2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS) UR - https://doi.org/10.1109/ICPS48405.2020.9274751 KW - information modelling KW - cyber physical system KW - OPC UA Y1 - 2020 UR - https://doi.org/10.1109/ICPS48405.2020.9274751 SN - 978-1-7281-6389-5 SP - 402 EP - 405 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - de Caigny, Jan A1 - Tauchnitz, Thomas A1 - Becker, Ronny A1 - Diedrich, Christian A1 - Schröder, Tizian A1 - Großmann, Daniel A1 - Banerjee, Suprateek A1 - Graube, Markus A1 - Urbas, Leon T1 - NOA – von Demonstratoren zu Pilotanwendungen T1 - NOA – from demonstrators to pilot applications BT - vier Anwendungsfälle der Namur Open Architecture BT - four applications of Namur Open Architecture JF - atp magazin UR - https://doi.org/10.17560/atp.v61i1-2.2403 KW - NOA KW - Namur Open Architecture KW - NOA-Diode KW - NOA-Informationsmodell KW - Verification of Request KW - Anwendungsbeispiel KW - NOA KW - Namur Open Architecture KW - NOA diode KW - NOA information model KW - verification of request KW - use cases Y1 - 2019 UR - https://doi.org/10.17560/atp.v61i1-2.2403 SN - 2190‑4111 VL - 61 IS - 1-2 SP - 44 EP - 55 PB - Vulkan CY - Essen ER - TY - CHAP A1 - Kampa, Thomas A1 - El-Ankah, Amer A1 - Großmann, Daniel ED - Dörksen, Helene ED - Scanzio, Stefano ED - Jasperneite, Jürgen ED - Wisniewski, Lukasz ED - Man, Kim Fung ED - Sauter, Thilo ED - Seno, Lucia ED - Trsek, Henning ED - Vyatkin, Valeriy T1 - High Availability for virtualized Programmable Logic Controllers with Hard Real-Time Requirements on Cloud Infrastructures T2 - 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) UR - https://doi.org/10.1109/INDIN51400.2023.10218014 KW - RDMA KW - vPLC KW - state synchronization Y1 - 2023 UR - https://doi.org/10.1109/INDIN51400.2023.10218014 SN - 978-1-6654-9313-0 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Bilal, Mühenad A1 - Podishetti, Ranadheer A1 - Koval, Leonid A1 - Gaafar, Mahmoud A. A1 - Großmann, Daniel A1 - Bregulla, Markus T1 - The Effect of Annotation Quality on Wear Semantic Segmentation by CNN JF - Sensors N2 - In this work, we investigate the impact of annotation quality and domain expertise on the performance of Convolutional Neural Networks (CNNs) for semantic segmentation of wear on titanium nitride (TiN) and titanium carbonitride (TiCN) coated end mills. Using an innovative measurement system and customized CNN architecture, we found that domain expertise significantly affects model performance. Annotator 1 achieved maximum mIoU scores of 0.8153 for abnormal wear and 0.7120 for normal wear on TiN datasets, whereas Annotator 3 with the lowest expertise achieved significantly lower scores. Sensitivity to annotation inconsistencies and model hyperparameters were examined, revealing that models for TiCN datasets showed a higher coefficient of variation (CV) of 16.32% compared to 8.6% for TiN due to the subtle wear characteristics, highlighting the need for optimized annotation policies and high-quality images to improve wear segmentation. UR - https://doi.org/10.3390/s24154777 Y1 - 2024 UR - https://doi.org/10.3390/s24154777 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-49551 SN - 1424-8220 VL - 24 IS - 15 PB - MDPI CY - Basel ER - TY - CHAP A1 - Knollmeyer, Simon A1 - Mroß, Björn A1 - Mueller, Ralph A1 - Großmann, Daniel T1 - Ontology based knowledge graph for information and knowledge management in factory planning T2 - 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA) UR - https://doi.org/10.1109/ETFA54631.2023.10275409 Y1 - 2023 UR - https://doi.org/10.1109/ETFA54631.2023.10275409 SN - 979-8-3503-3991-8 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Kampa, Thomas A1 - Großmann, Daniel T1 - Half&Half: Intra-Flow Load Balancing and High Availability for Edge Cloud-enabled Manufacturing T2 - 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA) UR - https://doi.org/10.1109/ETFA54631.2023.10275483 Y1 - 2023 UR - https://doi.org/10.1109/ETFA54631.2023.10275483 SN - 979-8-3503-3991-8 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Mathias, Selvine George A1 - Großmann, Daniel T1 - Efficacy of Statistical Formulations on Acoustic Emission Signals for Tool Wear Predictions T2 - Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics - IN4PL N2 - Acoustic emission (AE) signals obtained during machining processes can be used to detect, locate and assess flaws in structures made of metal, concrete or composites. This paper aims to characterize AE signals using derived parameters from raw signatures along with statistical feature extractions to correlate with tool wear readings. Missing tool wear values are imputed using domain knowledge rules and compared to AE signals using machine learning models. The amount of effect on tool wear is formulated using Bayesian Inferences on derived parameters such as areas under the raw signal curve in addition to comparisons with the supervised models for predictions. Using the constructed models and formulation, the presented study also includes a trace-back pseudo-algorithm for determining the stage in process where tool wear values begin to approach the wear limits. UR - https://doi.org/10.5220/0010676400003062 KW - acoustic emission KW - tool wear KW - data imputations KW - statistical approach Y1 - 2021 UR - https://doi.org/10.5220/0010676400003062 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-18695 SN - 978-989-758-535-7 SP - 108 EP - 115 PB - SciTePress CY - Setúbal ER -