Diploma Work - Flame status detection using dynamic pressure and

DIPLOMA WORK – FLAME STATUS DETECTION USING DYNAMIC PRESSURE AND TEMPERATURE MEASUREMENTS

Siemens Energy AB is looking for a master student to do their thesis work during the autumn 2021 in “data analytics and machine learning” as a part of improving one of the sensor operations. 

Gas turbines are equipped with flame detectors to recognize the status of flame in the combustion chamber. The flame status situation is constantly monitored by this flame detector and collected in the form of analogue signals. The goal of this project is to investigate whether other type of standard sensors in the combustion chamber can be used to detect flame status instead of the flame detectors. One suggestion to achieve the mentioned goal is via developing statistical state prediction models between the data from standard sensors and flame detectors. The result can be used to establish a prediction model that can predict the flame status reliably and accurately. 

LET’S TALK ABOUT YOU

Your profile

• Ongoing studies within in Data Engineering, Computer Science, Engineering Physics, or equivalent

• Proficient in data analytics and machine learning algorithms

• Understands sensor principles and gas turbine 

• Proficient in MATLAB programming. 

• The position further requires you to have the ability to communicate your ideas and collaborate in discussions

• Passionate for innovation, self-motivated, and can work independently

Your responsibilitites

• Implement a machine learning model using sensor data, to explore the possibility of flame detection

• Initially the work will be focused on understanding the sensor data and examining the goals for the project

• Once the student is familiarized with sensor data, the student will focus on developing a machine learning algorithm to parse and learn from input data and to make predetermined decisions. 

• As part of the master thesis, student will require to document their knowledge gained during the period and present their work at the end of the period. The thesis work will be carried out at Siemens Energy in Finspång.  

Your opportunities for personal growth:

• At the end of this master thesis project, the student will have an extended knowledge in machine learning methods and prediction models, which becomes a strong foothold to excel within the future technologies

• At the same time, the student will have the opportunity to learn new things from our testing specialists in the gas turbine area. 

 

LET’S TALK ABOUT US

"Let’s make tomorrow different today" is our genuine commitment at Siemens Energy to all customers and employees on the way to a sustainable future.

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. 

Read more about Siemens Energy here: 

www.siemens-energy.com

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Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and compassion. Our combined creative energy is fueled by at least 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society. All of society. 

Job & Career: https://www.siemens-energy.com/global/en/company/jobs.html

Application

Don’t hesitate – apply via https://jobs.siemens-energy.com/jobs or https://siemensenergy.avature.net/internalcareers , id nr 223548 not later than 2021-05-02. 

For questions about the role, please contact the recruiting manager Björn Karlsson on tel. 0122-828 55. 

For questions about the recruitment process please contact the responsible recruiter Nelly Johansson on tel. 0122-81505.

Location: 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