You will be a part of ABB AB... ABB Metallurgy, part of the Process Industries business unit within division Industrial Automation, is the world’s leading supplier of electromagnetic (EMS) products for the aluminum and steel industries.
You will be a part of ABB AB Metallurgy ABB Metallurgy, part of the Process Industries business unit within division Industrial Automation, is the world’s leading supplier of electromagnetic (EMS) products for the aluminum and steel industries. Research & Development, Sales, Project Management and our Workshop can be found at our Västerås site where the majority of our colleagues work to deliver our products to customers around the globe.
Uppgifter :
ABB AB/Metallurgy is world leading in developing and delivering electromagnetic devices for steel and aluminum industry. The electromagnetic devices are employed to control the fluid flow and solidification of liquid metal, and as a result, improve the process productivity and quality. ABB has long experience in working with industrial partners in collecting the industrial data with the purpose to evaluate and improve its product performance.
The main content of the thesis work is to apply new methods in Big Data analysis/machine learning to analyze a data set which is collected from industrial application, and as a further step, to build a predictive model. The data set covers the operation data, sensor data and final product quality data of slab continuous casting process.
The detailed description of the work is as follows
- Introduction to ABB AB/Metallurgy products and slab continuous casting process
- Test of Big Data/machine learning methods for the analysis of the extracted data set
- Comparison among different analysis methods
- Build-up of a predictive model
Driven M.Sc. student with background in numerical analysis, statistics and data science. Experience in artificial intelligence, big data analysis methods and machine learning is a merit. Programming skills in Matlab, Python etc. Technical University educational programs: Computer Science, Engineering Physics, Material Science or similar.
• Period: Jan.- Jun., 2019
• 30 ECTS/högskolepoäng(hp)
• One student
19-03-2024
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