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Deterministic and Statistical Methods for Evaluating Turbine Rotor Speed Instabilities
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SYSNO ASEP 0517332 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Deterministic and Statistical Methods for Evaluating Turbine Rotor Speed Instabilities Author(s) Procházka, Pavel (UT-L) RID, ORCID
Maturkanič, Dušan (UT-L)
Košina, Jan (UT-L) RID
Brabec, Marek (UIVT-O) RID, SAI, ORCIDNumber of authors 4 Source Title IEEE Transactions on Instrumentation and Measurement. - : Institute of Electrical and Electronics Engineers - ISSN 0018-9456
Roč. 69, č. 4 (2020), s. 1416-1425Number of pages 10 s. Publication form Print - P Language eng - English Country US - United States Keywords vibrations ; frequency measurement ; fluctuations ; rotors ; blades ; turbines Subject RIV BI - Acoustics OECD category Applied mechanics Subject RIV - cooperation Institute of Computer Science - Applied Statistics, Operational Research R&D Projects EF15_003/0000493 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Method of publishing Limited access Institutional support UT-L - RVO:61388998 ; UIVT-O - RVO:67985807 UT WOS 000521163500046 EID SCOPUS 85082023593 DOI 10.1109/TIM.2019.2909942 Annotation The paper deals with the measurement and assessment of rotor speed instabilities. Mean attention is paid to measurements on turbine rotors while using the Blade Tip-Timing Method. The problematic was investigated on the model test turbine wheel of the Institute of Thermomechanics. A novel signal processing method, which consists of a combination of smoothing and approximation, is presented here. This procedure enables to define the instability function over a wide range of speeds and features more than one order shorter calculation time compared to FFT. Moreover, the statistical approach was applied to test the time variability hypothesis of the studied processes, which proved to be a very effective way for evaluating the nature of these processes. Workplace Institute of Thermomechanics Contact Marie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823 Year of Publishing 2022 Electronic address https://ieeexplore.ieee.org/document/8694815
Number of the records: 1