Machine Learning to Predict behavior of Industrial Machine Components

Master Thesis: Machine Learning to Predict behavior of Industrial Machine Components
Join us on our journey #SiemensEnergy
Siemens Energy’s 91,000 employees around the world are passionately pursuing one common goal: to energize society with affordable, reliable, and sustainable energy systems.
Join our great team and put your energy to use.”
At Siemens Energy Finspång we develop and manufacture gas turbines for power generation and operation of compressors and pumps. We are also a total contractor for distribution and transmission projects in Sweden, and we provide total solutions in electrification, automation and digitalization for the process and basic industries. A comprehensive service organization covers all delivered products and plant systems.


The challenge
Gas turbines are designed to operate during long periods of time and in tough environments. This puts high demand on the turbine components regarding their life cycle. One ambition is to predict the behavior of different components using machine learning. The task for this master thesis is to optimize component life cycle. This can be achieved by creating a parametric cad model of the component. Then use machine learning to create meta models of 3D finite elements. The models can then be iterated over many design points in order to find the optimum design. Successful meta models can have a great impact in reducing developing time within the R&D department.

Who are you?
Master student within one of the followingSolid mechanics/Design and product development with an interest in machine learning
Machine learning/AI with some experience in solid mechanics
Skilled in coding in Python or R
Interested in design automatization and optimization
Open minded and curious

Why should you be working at Siemens?
Siemens Energy is one of the world’s leading energy technology companies. The company works with its customers and partners on energy systems for the future, thus supporting the transition to a more sustainable world. With its portfolio of products, solutions and services, Siemens Energy covers almost the entire energy value chain – from power generation and transmission to storage. The portfolio includes conventional and renewable energy technology, such as gas and steam turbines, hybrid power plants operated with hydrogen, and power generators and transformers. More than 50 percent of the portfolio has already been decarbonized. A majority stake in the listed company Siemens Gamesa Renewable Energy (SGRE) makes Siemens Energy a global market leader for renewable energies. An estimated one-sixth of the electricity generated worldwide is based on technologies from Siemens Energy. Siemens Energy employs 91,000 people worldwide in more than 90 countries and generated revenue of around €29 billion in fiscal year 2019. In Sweden Siemens Energy has 2600 employees in 10 locations.
At Siemens we value diversity by inclusion and by cooperating with people with different mindset, background, experience, competence and personal traits – in all organisational levels.
Read more about Siemens here:
www.siemens-energy.com.
Application
Do not hesitate - apply today via https://jobs.siemens-energy.com/jobs , refnr 221353 and no later than November 6th. For questions about the role please contact recruiting manager Malin Berggren on +46 (122) 887918 or for questions about the recruitment process contact Eva Nilsson on eva.e.nilsson@siemens.com
Place of work: Finspång
Trade Union representatives:
Veronica Andersson, Unionen, 0122-840 21
Simon Von Eckardstein, Sveriges Ingenjörer, 0122-842 24
Jan Lundgren, Ledarna, 0122-812 33
Jonny Persson, IF Metall, 0122-817 69




Taggning för Linkedin


#LI-MT1