Sebastian von Enzberg

Sebastian von Enzberg
Fraunhofer IEM · Product Engineering

Dr.-Ing.

About

30
Publications
5,027
Reads
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107
Citations
Additional affiliations
January 2011 - June 2016
Otto-von-Guericke-Universität Magdeburg
Position
  • Research Assistant

Publications

Publications (30)
Article
Full-text available
Digitization of production offers potentials e.g. in reducing throughput-times and increasing productivity. MES and ERP systems can be the central hub for organizing, analyzing and processing enterprise and manufacturing data. Introducing these systems requires clear requirement-definition, since 60% of errors occur here. Even for existing producti...
Article
Full-text available
Smart maintenance offers a promising potential to increase efficiency of the maintenance process, leading to a reduction of machine downtime and thus an overall productivity increase in industrial manufacturing. By applying fault detection and prediction algorithms to machine and sensor data, maintenance measures (i.e., planning of human resources,...
Article
Full-text available
One of the most notable drivers of the fourth industrial revolution is the availability of vast amounts of data along the entire lifecycle of a product. The analysis of product lifecycle data leads to promising potentials in strategic product planning. However, many companies are confronted with major challenges in identifying and specifying all th...
Article
We propose a novel model-based surface approximation method for three-dimensional (3-D) surface quality inspection that combines a machine learning approach with multiresolution paradigms. Acceptable surface deviations are modeled by learning a number of 3-D measurements of tolerance samples. At the same time, areas with high surface details are hi...
Conference Paper
Full-text available
It is often a problem to combine domain knowledge and data science knowledge in applications of industrial data analytics. Data scientists usually spend a lot of time to understand the domain to develop an application while domain experts lack the skills to interpret results of underlying mathematical models. This leads to difficulties when adaptin...
Chapter
This chapter presents the advanced manufacturing processes and big data-driven algorithms and platforms leveraged by the Boost 4.0 big data lighthouse project that allows improved digital operations within increasingly automated and intelligent shopfloors. The chapter illustrates how three different companies have been able to implement three disti...
Article
Full-text available
Cyber-physical systems (CPS) generate huge amounts of data during the usage phase. By analysing these data, CPS providers can systematically uncover hidden product improvement potentials for future product generations. The successful implementation of such analytics use cases depends to a large extent on whether the stakeholders involved succeed in...
Article
Upper limb spasticity (ULS) is a common pathophysiological changes manifest by a structural damage towards the central nervous system (CNS) that includes brain and spinal cord. The current clinical practice of spasticity assessment utilizes Modified Ashworth Scale (MAS) as a subjective tool to measure the severity of spasticity. Lack of objective v...
Article
The use of material flow simulation in production allows early testing of production scenarios, thus reducing overall time for production planning. However, initial modelling introduces additional expenses. One way to reduce these expenses is the use of reusable standard modules. This paper presents a method for the identification and specification...
Article
Full-text available
While many companies are currently trying to use data generated and enabled by Industry 4.0 and networked systems to create data-based services, this also results in new possibilities and potentials for product planning and product engineering. Product life cycle analytics plays an essential role in data-driven product planning. In addition to the...
Conference Paper
The use of material flow simulation in production allows early testing of production scenarios, thus reducing overall time for production planning. However, initial modelling introduces additional expenses. One way to reduce these expenses is the use of reusable standard modules. This paper presents a method for the identification and specification...
Article
Full-text available
Healthcare providers in the field of physical and rehabilitation medicine play a vital role to help patients suffering spasticity readapting themselves to their normal daily activities. Mathematical modeling of spasticity has the potential to avoid the issue of variability in the assessment of spasticity using the Modified Ashworth scale (MAS). In...
Article
Full-text available
Providing optimal rehabilitation services to the broad public is one of the greatest challenges in the healthcare sector due to the shortage of rehabilitation physicians and facilities. Recent advances in digitalization and sophisticated data analytics offers new innovative ways in delivering rehabilitation services to enhance the quality of life o...
Chapter
Die Ergebnisse des Verbundprojekts „Separator i4.0“ bilden ein Instrumentarium mit dessen Hilfe intelligente Komponenten interdisziplinär und unter Nutzung von formalisiertem Expertenwissen entwickelt und in bestehende Gesamtsysteme integriert werden können. Entsprechend der in Kap. 1 vorgestellten Projektstruktur gliedert sich das Kapitel in drei...
Chapter
Ziel des Pilotprojekts war die Validierung der entwickelten Methodik und des Expertensystems an einem vorindustriellen Demonstrator. Hierbei stand insbesondere die Integration von Separator, Separatorsteuerung, Sensorik und Expertensystem in einer modularen Systemarchitektur im Vordergrund. In diesem Kapitel werden die Systemarchitektur und die Val...
Article
Kurzfassung Die Potenziale der Digitalisierung in der Produktion reichen von individuellen Maschinenoptimierungen bis zur Optimierung der gesamten Produktionsplanung und -steuerung. Im Rahmen von Industrie 4.0 sehen nun viele Unternehmen die Notwendigkeit, in ihre Produktion zu investieren. Insbesondere fällt es kleinen Unternehmen schwer, den wirt...
Article
Full-text available
Production optimization can be done on different levels, ranging from improving individual machines, over organizational aspects like Kanban, to optimizing the overarching production planning. The last approach may inherit the greatest potential. Still, it is also the most challenging since it requires a holistic systems engineering approach. One o...
Article
Full-text available
Industry 4.0 promises numerous potentials in production, ranging from data-driven machine optimization to improving the entire production planning. The lack of transparency about the effects and benefits of Industry 4.0 is one of the key obstacles to its introduction. Key Performance Indicators (KPIs) are a way to capture changes in production. Thi...
Article
Full-text available
One of the notable drivers of the fourth industrial revolution is the collection of vast amounts of data along the entire lifecycle of a product. The analysis of product lifecycle data in conjunction with product hypotheses leads to promising potentials in strategic product planning. In this thesis paper, we postulate the need for data-driven produ...
Article
Full-text available
We propose a novel method for registration of partly overlapping three-dimensional surface measurements for stereo-based optical sensors using fringe projection. Based on two-dimensional texture matching, it allows global registration of surfaces with poor and ambiguous three-dimensional features, which are common to surface inspection applications...
Article
The goal of this work is the automated recognition of 3D surface defects for quality inspection in industrial production. For complexly shaped work pieces that are non-rigid and have non-uniform tolerance ranges, it is hard to distinguish acceptable surface deviations from defects. We propose a 3-stage defect recognition system based on 3D measurem...
Conference Paper
Full-text available
We developed a method to calibrate a variable number of cameras with overlapping fields of vision and a markerless planar calibration target. To identify distinct pass points in the camera images with subpixel accuracy we use projected horizontal and vertical phase shift measurements. The plane can be observed a variable amount of times in differen...
Conference Paper
High precision range sensors can be used for measuring 3D point clouds of object surfaces for quality inspection in industrial production. It is often difficult to formally describe acceptable tolerance ranges of real surfaces, especially for deformable objects. Instead of a formal definition, the surface and its tolerance range can rather be given...
Article
Full-text available
A physically based model of camera, sensor, light source, object geometry and surface characteristics in conjunc- tion with the path tracing algorithm is suggested and enhanced to allow for accurate simulation of active photogrammetric d measurement systems. This allows for effects to be simulated which are not inherent to common simulation approac...
Article
Optical 3D measurement with active photogrammetric systems allows for precise measurement with high lateral and depth accuracy. Measured 3D data can thus be used for surface quality inspection. The detection of surface defects is a non-trivial task especially for deformable plastics or sheet metal parts and can be solved by 3D surface approximation...

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