MASTER THESIS - ADVANCEMENT IN VIBRATION MEASUREMENT DATA PROCESSING

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Your profile

You are someone in your last year studies within engineering physics (or equivalent) with a specialization and interests related to digital signal processing and programming.
 

Your responsibilities

You will be engaged in the development of new processing approaches of experimentally acquired blade vibration data. The data acquired by means of blade tip timing method (BTT) has well known drawback - frequency aliasing limiting method’s applicability.

The digital signal processing research community has developed several anti-aliasing methods for non-uniformly sampled data to which data acquired by BTT belongs. It has been shown that a band-limited signal can be uniquely driven from non-uniform samples, provided that the average sampling rate exceeds the Nyquist rate.

The goal would be a complete methodology that can accurately and efficiently identify both synchronous and asynchronous blade vibrations measured with blade tip timing and attempt to introduce the development into company’s in-house data acquisition and analysis software.

Submission of results to a conference will be appreciated. Examples of dedicated publications would be:
* V. Kharyton and all, A Discussion on the Advancement of Blade Tip Timing Data Processing, ASME Turboexpo 2017 paper GT2017-63138
* D. Zachariah and P. Stoica, Online Hyperparameter-Free Sparse Estimation Method,

The project can be performed during fall 2021 or spring 2022. The project can partly be done remotely upon agreement.
 

Your opportunities for personal growth

You will get an experienced team-member working with highly qualified professionals.

You would get in the confidence in solving rather complicated problems related not only to a “multi-physics” of gas-turbine operation but also in general that would potentially make you even more competitive facing nowadays career market challenges.

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

Application

Don’t hesitate – apply via https://jobs.siemens-energy.com/jobs, id nr 224075 not later than 2021-09-26.

For questions about the role please contact recruiting manager John Andersson  +46 (0) 122 81620 or project responsible Vsevolod Kharyton +46 (0) 725 345188, for questions about the recruitment process please contact responsible recruiter Nelly Johansson +46 (0) 122 81505.

Location: Finspång or remote workplace upon agreement

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