Keno MoenckHamburg University of Technology | TUHH · Institute of Aircraft Production Technology
Keno Moenck
Master of Science
Engineer & Research Associate
About
16
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Introduction
Publications
Publications (16)
Many documents are produced over the years of managing assets, particularly those with long lifespans. However, during this time, the assets may deviate from their original as-designed or as-built state. This presents a significant challenge for tasks that occur in later life phases but require precise knowledge of the asset, such as retrofit, wher...
In response to the limitations of manual visual inspection in manufacturing industries, this paper presents a novel approach that combines Meta AI's Segment Anything Model (SAM) as a current representative of a vision foundation model with marker-based localization techniques to enhance quality assurance processes. Focusing on aircraft cabin compon...
In recent years, the upstream of Large Language Models (LLM) has also encouraged the computer vision community to work on substantial multimodal datasets and train models on a scale in a self-/semi-supervised manner, resulting in Vision Foundation Models (VFM), as, e.g., Contrastive Language-Image Pre-training (CLIP). The models generalize well and...
The digital twin (DT) concept, value-adding connecting the real and digital world, has been a rising trend in recent years, while the implementation and observation of challenges are still subject to research. Implementations of holistic Digital Twins of tangible and intangible assets of complex products or processes are often ideal-theoretic; inst...
Globally interconnecting machines, processes, and resources driven by exploring and advancing new technologies defined Industry 4.0, resulting in, e.g., Cyber-Physical Production Systems (CPPS). The aircraft industry particularly struggled with transforming production and Maintenance, Repair, and Overhaul (MRO) processes, replacing humans with mach...
Manual inspection processes' results are difficult to map into digital twins. Since they rely on the expertise of the inspector and lack support systems, the process and the accompanying manual documentation are error-prone and time-consuming. This paper addresses this deficit, presenting an IoT-based platform approach to enable digitized and assis...
Geometric digital twins (gDT) of long-living assets are formed from a multitude of different data sources like CAD or measurement data imaging as-designed to sensory-based acquired as-is states. Change detection techniques allow merging 3D data pairwise, deriving a geometric digital twin of the physical asset. However, positional uncertainties must...
A product's digital representation enables various activities in its lifecycle. In a neutral, file-based exchange format, like the STandard for the Exchange of Product model data (STEP), asynchronous access is possible throughout different software solutions, increasing the work interoperability across different stakeholders. However, the file-base...
Deploying deep learning-based applications in specialized domains like the aircraft production industry typically suffers from the training data availability problem. Only a few datasets represent non-everyday objects, situations, and tasks. Recent advantages in research around Vision Foundation Models (VFM) opened a new area of tasks and models wi...
Geometric digital twins (gDT) are formed from a multitude of different data sources like CAD or measurement data imaging, e.g., as-designed to sensory-based acquired as-is states. Change detection techniques allow merging 3D data pairwise, deriving a geometric digital twin of the physical asset. However, positional uncertainties must be considered...
The digital twin concept, value-adding connecting the real and digital world, has been a rising trend in recent years, while the implementation and observation of challenges are still subject to research. Implementations of holistic digital twins of tangible and intangible assets of complex products or processes are often ideal-theoretic; instead,...
The added value of long-living assets declines during their lifespan, especially if they do not undergo regular planning-intensive maintenance and retrofits. Here, the Digital Twin (DT) concept can support by representing the physical asset's most recent state, typically based on data and information from product creation. However, in the depicted...
Aircraft are high value-adding and long-living assets, while aircraft cabins are expensive consumer products tailored to each customer. Vastly changing requirements and needs force aircraft holders regularly to instruct modifications in order to remain attractive on the market. Adaptations, modifications, and development of innovations are handled...