Norbert Link

VDEh-Betriebsforschungsinstitut | BFI · Quality and Information Technologies

The broad progress of digitalisation provides an increasing amount of online available data, often large data streams, from all relevant production processes. In many cases, this data is stored and used for posterior data analytics to explore the reasons for malfunctions or product degradation. The talk presents new search and monitoring techniques...

A stabilization concept based on a self-learning R-Tree index method is presented and demonstrated with measurements from a 1.5’’x1.5’’ cerium bromide detector. The concept uses a cognitive filter, a digital filter for nuclear signals that continuously updates itself to the current temperature by adjusting the filter components. The R-Tree combines...

The European steel industry is exposed to a very competitive market. Manufacturing high quality steel products demands highly skilled personnel, excellent plant technology, suitable plant maintenance, good quality of raw material, suitable automation systems, proper set points for control systems etc. Most of these requirements are already fulfille...

The continuous improvement of all steel production processes regarding the avoidance of quality deficiencies and the related improvement of production yield is an essential task of each steel producer. Therefore and within the framework of the Zero-Defect strategy popular today, several quality assurance techniques are used. The present report expl...

Product quality is the main driver for many steel producers in the world to improve their competitiveness. Therefore continuous quality improvement and zero-defect-manufacturing are major targets of steel makers. Both is supported by modern measuring systems, gathering an increasing amount of quality and process data along the complete steel produc...

Die kontinuierliche Verbesserung der Produktionsprozesse von Stahl hinsichtlich der Vermeidung von Qualitätsfeh-lern und die damit einhergehende Steigerung des Ausbringens der Anlagen ist eine wesentliche Aufgabe jedes Stahl-produzenten. Im Rahmen der heutzutage angestrebten Null-Fehler-Strategie werden hierfür unterschiedliche Tech-niken der Quali...

The application of statistical methods is state-of-the-art in all steel companies worldwide to investigate data coming from technical processes. In many cases the aim of such an investigation is to find cause&effect relationships between process / plant variables and detected quality deficiencies. For these kinds of investigations special departmen...

The conventional method for continuously monitoring emissions to air is by the use of hardware-based analysers commonly known as continuous emission monitoring systems (CEMS). It is likely that in Europe, as is already the case in the USA, environment regulatory authorities will require major process plants to be equipped with CEMS. For instance, t...

The present paper describes work carried out on a collaborative European Coal and Steel Community (ECSC) project, completed in 2000, which aimed to develop a quality prediction forecasting method for both the internal and the surface quality of the as-cast semi. The techniques used included mathematical models, artificial neural networks (ANNs) suc...

This report contains the joint contributions of the collaborative ECSC project between Corus UK Ltd (coordinator), Centro Sviluppo Materiali (CSM), Helsinki University of Technology (HUT), Sidenor I+D and VDEh - Betriebsforschungsinstitut (BFI). The aim of the project was to develop a quality prediction forecasting method to give an overall picture...

The enhancement of product quality poses a constant challenge in the steel industry. This paper is intended to demonstrate that data mining methods can be successfully applied in order to optimise existing processes and plants in terms of the achievable product quality. The starting point for such an optimisation is to make it possible to use data...

The enhancement of product quality poses a constant challenge in the steel industry. This paper is intended to demonstrate that data mining methods can be sue cessfully applied in order to optimise existing processes and plants in terms of the achievable product quality. The starting point for such an optimisation is to make it possible to use data...

The improvement of product quality is a continual challenge in the steel industry. In this paper it is demonstrated that data-based methods can be used successfully to optimize existing processes in terms of the attainable product quality. The starting point for such an optimization is to utilize databases with process integrated steps, which conta...