Special issue  

This paper presents a conceptual approach for enhancing the communications between different calibration systems in a calibration ecosystem and enabling data exchange based on the digital calibration certificate (DCC) using the Beamex calibration ecosystem as an example. The presented system architecture concept introduces data exchange and DCC services that would allow the exchange of calibration data between the Beamex ecosystem and third-party systems.

Our research introduces an innovative method to improve the quality control of plastic granules, crucial in industries like manufacturing and automotive. We addressed a common issue: identifying "burn marks" on granules caused by overheating during processing. By combining advanced machine learning and a novel data augmentation technique called "cutout", we significantly enhanced the detection accuracy of these defects.

We present a concept for angle and position measurement based on metamaterials. The distance between the sensor and the rotating or moving metamaterial target is not limited to a precise value. We use state-of-the-art millimeter wave radar chip technology for read-out, initially intended for applications such as gesture recognition or contactless switches. We implement a demonstrator test setup and show the proof of principle.

There is a need to develop an unambiguous digital version of the International System of Units (SI), as required for information systems and distributed sensor networks. The unit kilogram could already replace the non-SI unit for atomic masses (dalton, Da) because the experimental uncertainties are now very close. But changing the current status of the well-known unit decibel would require considerably more time, until a digital version of a Unique SI Reference Point would be approved.

A new method for water detection in lubricated rail components is presented. It is based on a robust humidity sensor combined with robust data evaluation to determine the water content of greases. Based on a laboratory evaluation in the relevant environment, the presented approach offers an online monitoring tool to predict the water content of grease-lubricated rail parts, thereby enhancing the reliability and safety while reducing the maintenance costs and downtime of railway wagons.

Phase-measuring deflectometry is an optical shape measurement technique for reflective surfaces. The basic idea is that a pattern that is observed through reflection on a curved surface gets distorted and reveals information about its shape. In this work we describe a method to move the pattern to obtain data for quantitative shape determination. The experimental setup is calibrated. With a laser tracker we reveal calibration errors and discuss their influence on the reconstructed shape.