Published in tm - Technisches Messen
Vermehrt werden Daten in der Produktion erfasst und mit Hilfe maschineller Lernverfahren ausgewertet. Ziel dieser Datenanalysen ist es, Informationen über die Produktion zu erhalten. Typische Anwendungsbeispiele sind die Vorhersage der Produktqualität sowie die vorausschauende Wartung und Instandhaltung. Allerdings führen Datenanalysen aufgrund der...
Published in tm - Technisches Messen
Sensorlose Messverfahren ermöglichen eine platzsparende und gegen Umgebungseinflüsse unempfindliche Bestimmung der Läuferposition in elektrischen Maschinen. Die konventionellen Verfahren weisen jedoch einen verhältnismäßig hohen Rauschpegel auf und sind empfindlich gegenüber magnetischer Sättigung sowie Veränderungen der elektrischen Betriebsparame...
Published in tm - Technisches Messen
Published in tm - Technisches Messen
We propose a model to classify axial, radial loading profiles and rotation speed of wire-race bearings using Convolutional Neural Networks with spectrograms. Software-based models are able to measure quantities of machine elements. In many cases a physical sensor takes up a lot of space and is expensive. Wire-race bearings are lightweight bearings ...
Published in tm - Technisches Messen
Cognitive sensor systems (CSS) determine the future of inspection and monitoring systems for the nondestructive evaluation (NDE) of material states and their properties and key enabler of NDE 4.0 activities. CSS generate a complete NDE 4.0 data and information ecosystem, i. e. they are part of the materials data space and they are integrated in the...
Published in tm - Technisches Messen
In this paper we describe how the digital transformation (i. e., the adoption of digital technology) of society affects National Metrology Institutes like VSL. The presented ideas represent the personal viewpoint of the author, who works at the Dutch national metrology institute VSL. They don’t necessarily correspond to the vision of VSL as institu...
Published in tm - Technisches Messen
Published in tm - Technisches Messen
Thermophysical properties of materials and the optimization of the heat transfer are becoming more and more important for industrial applications of micro- and nanoelectronic devices. Thin layers in the micrometer to nanometer range are used to give specific functions to the devices. Since the thermophysical properties of thin layers differ from bu...
Published in tm - Technisches Messen
The increasing amount of available process data from machining and other manufacturing processes together with machine learning methods provide new possibilities for quality control and condition monitoring. A prediction of the workpiece quality in an early machining stage can be used to alter current quality control strategies and could lead to sa...
Published in tm - Technisches Messen
Nowadays machine learning methods and data-driven models have been used widely in different fields including computer vision, biomedicine, and condition monitoring. However, these models show performance degradation when meeting real-life situations. Domain or dataset shift or out-of-distribution (OOD) prediction is mentioned as the reason for this...
