Conference Proceeding
Refine
Year of publication
- 2024 (16)
- 2023 (36)
- 2022 (47)
- 2021 (48)
- 2020 (46)
- 2019 (76)
- 2018 (65)
- 2017 (67)
- 2016 (66)
- 2015 (71)
- 2014 (52)
- 2013 (57)
- 2012 (59)
- 2011 (44)
- 2010 (68)
- 2009 (53)
- 2008 (37)
- 2007 (44)
- 2006 (61)
- 2005 (23)
- 2004 (22)
- 2003 (22)
- 2002 (25)
- 2001 (12)
- 2000 (12)
- 1999 (7)
- 1998 (8)
- 1997 (8)
- 1996 (4)
- 1995 (4)
- 1993 (6)
- 1992 (3)
- 1991 (2)
- 1990 (1)
- 1989 (3)
- 1988 (3)
- 1986 (1)
- 1985 (2)
- 1984 (3)
- 1983 (2)
- 1981 (2)
- 1980 (1)
- 1979 (1)
- 1978 (3)
- 1975 (2)
- 1973 (2)
Institute
- Fachbereich Elektrotechnik und Informationstechnik (241)
- Fachbereich Medizintechnik und Technomathematik (218)
- Fachbereich Luft- und Raumfahrttechnik (189)
- Fachbereich Energietechnik (181)
- IfB - Institut für Bioengineering (151)
- Solar-Institut Jülich (110)
- Fachbereich Maschinenbau und Mechatronik (108)
- Fachbereich Bauingenieurwesen (75)
- Fachbereich Wirtschaftswissenschaften (57)
- ECSM European Center for Sustainable Mobility (53)
Language
- English (1197) (remove)
Document Type
- Conference Proceeding (1197) (remove)
Keywords
- Biosensor (25)
- CAD (7)
- Finite-Elemente-Methode (7)
- civil engineering (7)
- Bauingenieurwesen (6)
- Blitzschutz (6)
- Enterprise Architecture (5)
- Clusterion (4)
- Energy storage (4)
- Gamification (4)
This paper presents a proof of concept for automatically generating and orchestrating active asset administration shells (AAS) with IO-Link. AAS are software-based representations of physical assets that enable interoperability and standardised communication across different industrial systems. IO-Link is a widely adopted communication protocol for sensors and actuators in industrial automation. Our method uses an approach to generate AASs based on the IO-Link device description files. The generated AASs can then be orchestrated to form a distributed system that provides dynamic information about the status and performance of the connected assets. We demonstrate the effectiveness of our method through a proof of concept that involves the automatic generation and orchestration of AASs for a fluid processing unit equipped with pressure and flow sensors and a pump. The results show that our approach reduces the time and effort required to create and maintain active AASs.
Industrial field devices exchange information through standardized communication interfaces and data models,
encompassing process data, communication properties, and vendor details. Despite enhancing interoperability within a specific
protocol, integrating these devices with diverse systems poses challenges due to data model fragmentation and custom
interfaces. The absence of a universal semantic model for categorizing field device process data independently of standards
necessitates engineers to repetitively devise custom exchange data models for different sensors and actuators, relying on
standards like OPC-UA. In response, this work proposes an ontology-based architecture to tackle information data model
fragmentation, aiming for seamless data interoperability across a universal interface. By focusing on two open-access field
device standards, IO-Link and CANOpen, we compare their information data models, identify existing limitations, and put
forth a semantic information model. The objective is to offer an interoperable interface for Industry 4.0 applications,
showcasing the potential of an ontology-based approach in streamlining data exchange and reducing heterogeneity among
field devices.
The use of industrial robots allows the precise manipulation of all components necessary for setting up a large-scale particle image velocimetry (PIV) system. The known internal calibration matrix of the cameras in combination with the actual pose of the industrial robots and the calculated transform from the fiducial markers to camera coordinates allow the precise positioning of the individual PIV components according to the measurement demands. In addition, the complete calibration procedure for generating the external camera matrix and the mapping functions for e.g. dewarping the stereo images can be automatically determined without further user interaction and thus the degree of automation can be extended to nearly 100%. This increased degree of automation expands the applications range of PIV systems, in particular for measurement tasks with severe time constraints.
Manufacturing companies are forced to operate in an increasingly volatile and unpredictabl environment. The number of events that can have a potentially critical impact on a production system‘s economic performance have significantly increased. This forces companies to invest considerably more in flexible and robust production systems capable of withstanding a certain amount of change however unable to quantify the benefits in advance. The satisfactory quantification and assessment of these qualities – Flexibility and Robustness –has not been realized yet. This paper discusses commonality between Flexibility and Robustness and offers a new approach to connect changes in the environment with the elements of a production system and thus quantifying its flexibility and robustness.
This paper presents initial findings from aeroelastic studies conducted on a wing-propeller model, aimed at evaluating the impact of aerodynamic interactions on wing flutter mechanisms and overall aeroelastic performance. Utilizing a frequency domain method, the flutter onset within a specified flight speed range is assessed. Mid-fidelity tools with a time domain approach are then used to account for the complex aerodynamic interaction between the propeller and the wing. Specifically, open-source software DUST and MBDyn are leveraged for this purpose. This investigation covers both windmilling and thrusting conditions of the wing-propeller model. During the trim process, adjustments to the collective pitch of the blades are made to ensure consistency across operational points. Time histories are then analyzed to pinpoint flutter onset, and corresponding frequencies and damping ratios are meticulously identified. The results reveal a marginal destabilizing effect of aerodynamic interaction on flutter speed, approximately 5%. Notably, the thrusting condition demonstrates a greater destabilizing influence compared to windmilling. These comprehensive findings enhance the understanding of the aerodynamic behavior of such systems and offer valuable insights for early design predictions and the development of streamlined models for future endeavors.
Sexism in online media comments is a pervasive challenge that often manifests subtly, complicating moderation efforts as interpretations of what constitutes sexism can vary among individuals. We study monolingual and multilingual open-source text embeddings to reliably detect sexism and misogyny in Germanlanguage online comments from an Austrian newspaper. We observed classifiers trained on text embeddings to mimic closely the individual judgements of human annotators. Our method showed robust performance in the GermEval 2024 GerMS-Detect Subtask 1 challenge, achieving an average macro F1 score of 0.597 (4th place, as reported on Codabench). It also accurately predicted the distribution of human annotations in GerMS-Detect Subtask 2, with an average Jensen-Shannon distance of 0.301 (2nd place). The computational efficiency of our approach suggests potential for scalable applications across various languages and linguistic contexts.
In many instances, freight vehicles exchange load or information with plants that are or will soon be Industry4.0 plants. The Wagon4.0 concept, as developed in close cooperation with e.g. port or mine operations, offers a maximum in railway operational efficiency while providing strong business cases already in the respective plant interaction. The Wagon4.0 consists of main components, a power supply, data network, sensors, actuators and an operating system, the so called WagonOS. The Wagon OS is implemented in a granular, self-sufficient manner, to allow basic features such as WiFi-Mesh and train christening in remote areas without network connection. Furthermore, the granularity of the operating system allows to extend the familiar app concept to freight rail rolling stock, making it possible to use specialised actuators for certain applications, e.g. an electrical parking brake or an auxiliary drive. In order to facilitate migration to the Wagon4.0 for existing fleets, a migration concept featuring five levels of technical adaptation was developed. The present paper investigates the benefits of Wagon4.0-implementations for the particular challenges of heavy haul operations by focusing on train christening, ep-assisted braking, autonomous last mile and traction boost operation as well as improved maintenance schedules
Architects and civil engineers work together regularly during their professional days and are irreplaceable for each other. This co-operation is sometimes made more difficult by the differences in their disciplinary languages and approaches. Structures are evaluated by architects on the basis of criteria such as spatial impact and usability, while civil engineers analyze them more closely by their bearing and deformation properties, as well as by constructive aspects. This diversity of assessment criteria and approaches is often continued in both academic disciplines in the view on structures.
Within the framework of the Exploratory Teaching Space (ETS), a funding program to improve teaching at RWTH Aachen University and to promote new teaching concepts, a project was carried out jointly by the Junior Professorship of Tool-Culture at the Faculty of Architecture and the Institute of Structural Concrete at the Faculty of Civil Engineering. The aim of the project is to present buildings in such a way that the differences in perception between architects and civil engineers are reduced and the common understanding is promoted.
The project develops a database, which contains a collection of striking buildings from Aachen and the surrounding area. The buildings are categorized according to terms that come from both disciplinary areas. The collection can be freely explored or crossed through learning trails. The medium of film plays a special role in presenting the buildings. The buildings are assigned to different categories of load bearing structures as linear, planar and spatial structures, and further to different types of material, functional programs and spatial characteristics. Since the buildings are located in the direct vicinity of Aachen, they can be visited by the students. This makes them more sensitive to their environment. Intrinsic motivation, as well as implicit learning is encouraged. The paper will provide a detailed report of the project, its implementation, the feedback of the students and the plans for further development.
In the research domain of energy informatics, the importance of open datais rising rapidly. This can be seen as various new public datasets are created andpublished. Unfortunately, in many cases, the data is not available under a permissivelicense corresponding to the FAIR principles, often lacking accessibility or reusability.Furthermore, the source format often differs from the desired data format or does notmeet the demands to be queried in an efficient way. To solve this on a small scale atoolbox for ETL-processes is provided to create a local energy data server with openaccess data from different valuable sources in a structured format. So while the sourcesitself do not fully comply with the FAIR principles, the provided unique toolbox allows foran efficient processing of the data as if the FAIR principles would be met. The energydata server currently includes information of power systems, weather data, networkfrequency data, European energy and gas data for demand and generation and more.However, a solution to the core problem - missing alignment to the FAIR principles - isstill needed for the National Research Data Infrastructure.
Due to the transition to renewable energies, electricity markets need to be made fit for purpose. To enable the comparison of different energy market designs, modeling tools covering market actors and their heterogeneous behavior are needed. Agent-based models are ideally suited for this task. Such models can be used to simulate and analyze changes to market design or market mechanisms and their impact on market dynamics. In this paper, we conduct an evaluation and comparison of two actively developed open-source energy market simulation models. The two models, namely AMIRIS and ASSUME, are both designed to simulate future energy markets using an agent-based approach. The assessment encompasses modelling features and techniques, model performance, as well as a comparison of model results, which can serve as a blueprint for future comparative studies of simulation models. The main comparison dataset includes data of Germany in 2019 and simulates the Day-Ahead market and participating actors as individual agents. Both models are comparable close to the benchmark dataset with a MAE between 5.6 and 6.4 €/MWh while also modeling the actual dispatch realistically.