TY - JOUR A1 - Mathias, Selvine George A1 - Akmal, Muhammad Uzair A1 - Asif, Saara A1 - Koval, Leonid A1 - Knollmeyer, Simon A1 - Großmann, Daniel T1 - Pattern Identifications in Transformed Acoustic Signals Using Classification Models JF - Procedia CIRP N2 - Pattern identifications in signals is necessary to discern variations from approved normal values in different scenarios. With machine learning algorithms, it is possible to use hybrid methods of pattern identifications such as feature extractions followed by classifications and/or clustering. This paper presents a pattern identification approach of acoustic signals using their transformations as inputs to classification algorithms. The analysis is carried out on two transformed versions of acoustic emission (AE) hits such as log transformations of peak hits and binary sequencing based on threshold crossing. A comparative analysis using custom data loss metrics is made to determine which inputs provide the best information in predictive methods for identifying commonly occurring patterns while acknowledging significant data loss. The methodology is conducted on transformed versions of a public dataset and the results show that patterns can be discerned to above 90% accuracy with the transformed datasets. The experimental results yield that actual source signals need not be utilized depending on which transformations suit the practical application. UR - https://doi.org/10.1016/j.procir.2024.10.061 Y1 - 2024 UR - https://doi.org/10.1016/j.procir.2024.10.061 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-56233 SN - 2212-8271 VL - 2024 IS - 130 SP - 93 EP - 99 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Knollmeyer, Simon A1 - Akmal, Muhammad Uzair A1 - Koval, Leonid A1 - Asif, Saara A1 - Mathias, Selvine George A1 - Großmann, Daniel ED - Facchinetti, Tullio ED - Cenedese, Angelo ED - Lo Bello, Lucia ED - Vitturi, Stefano ED - Sauter, Thilo ED - Tramarin, Federico T1 - Document Knowledge Graph to Enhance Question Answering with Retrieval Augmented Generation T2 - 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA) UR - https://doi.org/10.1109/ETFA61755.2024.10711054 Y1 - 2024 UR - https://doi.org/10.1109/ETFA61755.2024.10711054 SN - 979-8-3503-6123-0 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Asif, Saara A1 - Akmal, Muhammad Uzair A1 - Koval, Leonid A1 - Knollmeyer, Simon A1 - Mathias, Selvine George A1 - Großmann, Daniel ED - Facchinetti, Tullio ED - Cenedese, Angelo ED - Lo Bello, Lucia ED - Vitturi, Stefano ED - Sauter, Thilo ED - Tramarin, Federico T1 - Supervised Anomaly Detection for Production Line Images using Data Augmentation and Convolutional Neural Network T2 - 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA) UR - https://doi.org/10.1109/ETFA61755.2024.10710718 Y1 - 2024 UR - https://doi.org/10.1109/ETFA61755.2024.10710718 SN - 979-8-3503-6123-0 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Fleischmann, Albert A1 - Friedl, Anton A1 - Großmann, Daniel A1 - Schmidt, Werner T1 - Modeling and implementing of industrie 4.0 scenarios T2 - Modelling to Program UR - https://doi.org/10.1007/978-3-030-72696-6_4 KW - Industrie 4.0 KW - Industry 4.0 KW - subject oriented modeling KW - business process management Y1 - 2021 UR - https://doi.org/10.1007/978-3-030-72696-6_4 SN - 978-3-030-72695-9 SN - 978-3-030-72696-6 SN - 1865-0929 SN - 1865-0937 N1 - Access to this content is enabled by Nationallizenz Ebooks Medicine SP - 90 EP - 112 PB - Springer CY - Cham ER - TY - CHAP A1 - Koval, Leonid A1 - Akmal, Muhammad Uzair A1 - Asif, Saara A1 - Mathias, Selvine George A1 - Knollmeyer, Simon A1 - Großmann, Daniel T1 - Optimizing AI-Driven Production in Industry 4.0: A Morphological Box and Taxonomy Approach T2 - 2025 International Conference on Computer Technology Applications (ICCTA) UR - https://doi.org/10.1109/ICCTA65425.2025.11166106 Y1 - 2025 UR - https://doi.org/10.1109/ICCTA65425.2025.11166106 SN - 979-8-3315-1265-1 SP - 272 EP - 278 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Koval, Leonid A1 - Akmal, Muhammad Uzair A1 - Asif, Saara A1 - Mathias, Selvine George A1 - Knollmeyer, Simon A1 - Großmann, Daniel ED - Facchinetti, Tullio ED - Cenedese, Angelo ED - Lo Bello, Lucia ED - Vitturi, Stefano ED - Sauter, Thilo ED - Tramarin, Federico T1 - Addressing the complexity of AI Integration in Manufacturing: A Morphological Analysis T2 - 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA) UR - https://doi.org/10.1109/ETFA61755.2024.10711011 Y1 - 2024 UR - https://doi.org/10.1109/ETFA61755.2024.10711011 SN - 979-8-3503-6123-0 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Asif, Saara A1 - Akmal, Muhammad Uzair A1 - Koval, Leonid A1 - Mathias, Selvine George A1 - Knollmeyer, Simon A1 - Großmann, Daniel ED - Sgurev, Vassil ED - Jotsov, Vladimir ED - Piuri, Vincenzo ED - Doukovska, Luybka ED - Yoshinov, Radoslav T1 - A Conceptual Framework for Addressing Class Imbalance in Image Data: Challenges and Strategies T2 - 2024 IEEE 12th International Conference on Intelligent Systems (IS): Proceedings UR - https://doi.org/10.1109/IS61756.2024.10705251 Y1 - 2024 UR - https://doi.org/10.1109/IS61756.2024.10705251 SN - 979-8-3503-5098-2 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Koval, Leonid A1 - Wächter, Sonja A1 - Erdogan, Hüseyin A1 - Großmann, Daniel T1 - Ontology-Driven Modeling and Integration of Production Processes in Advanced Driver-Assistance Systems within the Gaia-X Ecosystem T2 - 2025 11th International Conference on Computer Technology Applications (ICCTA 2025) UR - https://doi.org/10.1109/ICCTA65425.2025.11166225 Y1 - 2025 UR - https://doi.org/10.1109/ICCTA65425.2025.11166225 SN - 979-8-3315-1265-1 SP - 211 EP - 216 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Nowacki, Natalie Samanta A1 - Mueller, Ralph A1 - Großmann, Daniel A1 - Lueder, Arndt T1 - Approach for identifying data usage information objects for the later implementation in production environments BT - Enabling a logic for the information modelling based on use cases using a conversation concept T2 - 2023 The 10th International Conference on Industrial Engineering and Applications (Europe), ICIEA-EU 2023 UR - https://doi.org/10.1145/3587889.3587915 Y1 - 2023 UR - https://doi.org/10.1145/3587889.3587915 SN - 978-1-4503-9852-7 SP - 169 EP - 175 PB - ACM CY - New York ER - TY - JOUR A1 - Mathias, Selvine George A1 - Großmann, Daniel T1 - Use Cases of Data Reduction to Time Series Data in Sensor Monitoring JF - Journal of Ubiquitous Systems and Pervasive Networks UR - https://doi.org/10.5383/JUSPN.16.02.005 Y1 - 2022 UR - https://doi.org/10.5383/JUSPN.16.02.005 SN - 1923-7332 VL - 16 IS - 2 SP - 87 EP - 92 PB - IASKS CY - [s. l.] ER - TY - JOUR A1 - Schmied, Sebastian A1 - Mathias, Selvine George A1 - Großmann, Daniel A1 - Mueller, Ralph A1 - Jumar, Ulrich T1 - Information modelling with focus on existing manufacturing systems JF - Annual Reviews in Control UR - https://doi.org/10.1016/j.arcontrol.2021.04.010 KW - information model KW - aggregation KW - OPC UA KW - cyber–physical manufacturing systems Y1 - 2021 UR - https://doi.org/10.1016/j.arcontrol.2021.04.010 SN - 1367-5788 VL - 2021 IS - 51 SP - 392 EP - 400 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Mueller, Ralph A1 - Großmann, Daniel A1 - Schmied, Sebastian A1 - Jumar, Ulrich T1 - Co-Simulation im Planungsprozess für die Informationsmodell-basierte virtuelle Inbetriebnahme JF - at - Automatisierungstechnik T2 - Co-simulation in the planning process for information model-based virtual commissioning UR - https://doi.org/10.1515/auto-2021-0167 KW - virtuelle Inbetriebnahme KW - Informationsmodell KW - OPC UA KW - Planungsprozess KW - Maschinenkommunikation KW - virtual commissioning KW - information model KW - OPC UA KW - planning process KW - machine communication Y1 - 2022 UR - https://doi.org/10.1515/auto-2021-0167 SN - 2196-677X SN - 0178-2312 VL - 70 IS - 7 SP - 612 EP - 622 PB - De Gruyter CY - Berlin ER - TY - JOUR A1 - Schmied, Sebastian A1 - Großmann, Daniel A1 - Mueller, Ralph A1 - Mathias, Selvine George A1 - Jumar, Ulrich T1 - Erstellung und Management von Informationsmodellen für bestehende Produktionssysteme T1 - Creation and management of Information Models for existing production systems JF - at - Automatisierungstechnik UR - https://doi.org/10.1515/auto-2020-0021 KW - OPC UA KW - Informationsmodellierung KW - Produktionssystem KW - Prozessdaten-Management KW - OPC UA KW - Information Modeling KW - production system KW - process data management Y1 - 2020 UR - https://doi.org/10.1515/auto-2020-0021 SN - 2196-677X VL - 68 IS - 5 SP - 325 EP - 336 PB - De Gruyter CY - Berlin ER - TY - CHAP A1 - Mathias, Selvine George A1 - Akmal, Muhammad Uzair A1 - Asif, Saara A1 - Knollmeyer, Simon A1 - Koval, Leonid A1 - Grossmann, Daniel ED - Maglogiannis, Ilias ED - Iliadis, Lazaros ED - Andreou, Andreas ED - Papaleonidas, Antonios T1 - Handling Anonymized Non-numerical Features in Data Using Transformations for Regression Models T2 - Artificial Intelligence Applications and Innovations: 21st IFIP WG 12.5 International Conference, AIAI 2025, Limassol, Cyprus, June 26–29, 2025, Proceedings, Part III UR - https://doi.org/10.1007/978-3-031-96231-8_8 Y1 - 2025 UR - https://doi.org/10.1007/978-3-031-96231-8_8 SN - 978-3-031-96231-8 SP - 99 EP - 111 PB - Springer CY - Cham ER - TY - JOUR A1 - Vogt, Anna A1 - Mueller, Ralph A1 - Kampa, Thomas A1 - Stark, Rainer A1 - Großmann, Daniel T1 - Concept and architecture for information exchange between digital twins of the product (CPS) and the production system (CPPS) JF - Procedia CIRP N2 - The Digital Twin concept and CPS- and IIoT-based approaches are increasingly important topics concerning future Industry 4.0 architectures. They offer high potential for dynamical aspects in intelligent production planning and control as well as part traceability and documentation. Standardized information exchange is an upcoming requirement among the whole supply chain. This paper presents a concept for a Digital Twin architecture based on motor production in the automotive industry. The key aspect is an information exchange structure for Digital Twins of products and production systems that are combined using principles of Dynamic Aggregation. UR - https://doi.org/10.1016/j.procir.2021.11.217 KW - digital twin KW - cyber physical system KW - production system KW - information model KW - information exchange KW - intelligent production systems KW - smart production Y1 - 2021 UR - https://doi.org/10.1016/j.procir.2021.11.217 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-16642 SN - 2212-8271 SP - 1292 EP - 1297 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Mayr, Thomas A1 - Knollmeyer, Simon A1 - Jeknic, Isidora A1 - Fink, Leon A1 - Hensel, Ralph A1 - Huber, Marco F. A1 - Großmann, Daniel T1 - Enhancing Process Planning in the Automotive Industry: Extracting Procedural Knowledge from Assembly Operation Descriptions using Large Language Models JF - Procedia CIRP N2 - The non-standardized, human-written assembly descriptions have been a long-standing obstacle in the automotive assembly industry, making it difficult to use these data in the planning stage. The paper presents a standardization method based on Large Language Models (LLMs), focusing on consistency and clarity. This approach does not only streamline the planning processes but also facilitates the benchmarking of productivity and process quality across different individual parts and assembly lines, thus enabling comprehensive efficiency analysis and ultimately leading to more informed decision-making. Our method was evaluated at a German OEM in the automotive sector, demonstrating its practical applicability and effectiveness. UR - https://doi.org/10.1016/j.procir.2026.01.137 Y1 - 2026 UR - https://doi.org/10.1016/j.procir.2026.01.137 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66843 SN - 2212-8271 VL - 2026 IS - 138 SP - 797 EP - 802 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Akmal, Muhammad Uzair A1 - Mathias, Selvine George A1 - Asif, Saara A1 - Koval, Leonid A1 - Knollmeyer, Simon A1 - Großmann, Daniel T1 - Humanizing AI: A Human-Centered Architecture to Developing Trustworthy Intelligent Systems T2 - CS & IT Conference Proceedings Y1 - 2025 UR - https://www.csitcp.com/abstract/15/158csit03 SN - 978-1-923107-57-1 SP - 27 EP - 44 PB - AIRCC CY - [s. l.] ER -