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Publications (14)
Convolutional neural network (CNN)-based approaches have recently led to major performance steps in visual recognition tasks. However, only a few industrial applications are described in the literature. In this paper, an object detection application for visual quality evaluation of X-ray scatter grids is described and evaluated. To detect the small...
Due to ever-increasing data availability, computational power, and algorithmic advances, machine learning enables various novel industrial applications. A field with particularly strong potential for machine learning is computer vision. As part of that area, semantic segmentation refers to a process that links each pixel of an image to a correspond...
One of the major trends in the 21st century is the trend towards digital transformation within Industry 4.0. In order to adapt to high volatile market conditions, especially in the context of COVID-19, companies do not only have to transfer their knowledge into digital systems. Furthermore, they have to be able to tailor their business processes ra...
In the course of the fourth industrial revolution, a multitude of new digital applications are being introduced along the entire life cycle of production systems. The structures of the classic automation pyramid are being softened and replaced by hybrid and decentralised structures in order to allow data and information to flow flexibly directly to...
During factory planning, production areas are dimensioned, structured and designed. Material flow simulation is part of the digital tool chain and intents to support factory planning processes. In this paper, a case study of planning a new factory in the medical technology industry is presented. A concept for the consistent use of digital data as a...
In product development, early decisions made within the requirements specification and design phase have significant impact on overall functionality, quality and lifecycle cost of the product. In Systems Engineering, these oftentimes iterative design phases are steered by underlying development models, providing processes, guidelines and best pract...
The scientific discussion on the Digital Twin gained substantial momentum within the last couple of years. In the context of Industry 4.0, the Digital Twin in the broadest sense refers to the concept of a coupled virtual representation of a physical asset. The asset types may range from products and processes to whole production systems. Different...
The discussion about the term "Digital Twin" and its associated concepts has expanded remarkably in the scientific community in recent years. In the context of industrial production, the Digital Twin refers to a holistic, linked, virtual representation of a physical entity. The spectrum of these entities ranges from individual products to specific...
Digitalization projects are software projects. Less suitable
for such projects are sequential planning methods often used
in conventional project management, as application- specific
requirements and interdependencies of facilities and IT systems
considerably increase overall complexity. Therefore, this
paper presents an approach for the systematic...
Digitalisierungsprojekte sind Softwareprojekte. Sequenzielle Planungsmethoden, wie sie im konventionellen Projektmanagement überwiegend Anwendung finden, eignen sich nur bedingt für diesen Projekttyp, da die anwendungsspezifischen Anforderungen sowie die Abhängigkeiten der Anlagen und IT-Systeme untereinander zu einem erheblichen Anstieg der Gesamt...
Unternehmen der produzierenden Industrie, insbesondere der deutsche Mittelstand, sind bei der digitalen Transformation mit vielen Herausforderungen konfrontiert, beginnend mit der Analyse und Identifikation geeigneter Automatisierungsprojekte. In dem Beitrag wird eine ganzheitliche Vorgehensweise vorgestellt, um Potenziale für eine Automatisierung...
X-rays have a large range of medical applications and play an important role in imaging diagnostics. However, the ionized radiation that the patient is exposed to during its application is harmful. In order to keep the radiation exposure as low as possible and at the same time improve image quality, the development of X-ray tubes is being pushed to...
Recent trends like autonomous driving, natural language processing, service robotics or Industry 4.0 are mainly based on the tremendous progress made in the field of machine learning (ML). The increased data availability coupled with affordable computing power and easy-to-use software tools have laid the foundation for using such algorithms in a wi...
Während sich das Verhalten starr verketteter Systeme relativ einfach mittels Materialflusssimulationen modellieren lässt, sind herkömmliche Simulationsansätze für flexible Fertigungssysteme aufgrund des hohen Datenerhebungs- sowie Parametrisieraufwands nur bedingt geeignet. Jedoch kann durch das automatische Übertragen von Echtzeitdaten in das Simu...
