KTH Matematik  

Matematisk Statistik

Tid: 1 januari 2015 kl 9.15-10.00.

Seminarierummet 3418, Institutionen för matematik, KTH, Lindstedtsvägen 25, plan 4. Karta!

Föredragshållare: Clémence Bisot

Titel: Spectral Data Processing for Steel Industry (Master's thesis)

Abstract For steel industry, knowing and understanding characteristics of a steel strip surface at every steps of the production process is a key element to control final product quality. Today as the quality requirements increase this task gets more and more important. The surface of new steel grades with complex chemical compositions has behaviors especially hard to master. For those grades in particular surface control is critical and difficult. One of the promising technics to assess the problem of surface quality control is the spectral analysis. Over the last few years, ArcelorMittal has led several projects to investigate the possibility of using devices to measure light spectrum of their product at different stage of the production. The large amount of data generated by these devices makes it absolutely necessary to develop efficient data treatment pipelines to get meaningful information out of the recorded spectra. In this thesis, we developed mathematical models and statistical tools to treat signal measured with spectrometers in the framework of different research projects.

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Sidansvarig: Filip Lindskog
Uppdaterad: 25/02-2009