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Deterministic and Statistical Methods for Evaluating Turbine Rotor Speed Instabilities

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    SYSNO ASEP0517332
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleDeterministic 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, ORCID
    Number of authors4
    Source TitleIEEE Transactions on Instrumentation and Measurement. - : Institute of Electrical and Electronics Engineers - ISSN 0018-9456
    Roč. 69, č. 4 (2020), s. 1416-1425
    Number of pages10 s.
    Publication formPrint - P
    Languageeng - English
    CountryUS - United States
    Keywordsvibrations ; frequency measurement ; fluctuations ; rotors ; blades ; turbines
    Subject RIVBI - Acoustics
    OECD categoryApplied mechanics
    Subject RIV - cooperationInstitute of Computer Science - Applied Statistics, Operational Research
    R&D ProjectsEF15_003/0000493 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    Method of publishingLimited access
    Institutional supportUT-L - RVO:61388998 ; UIVT-O - RVO:67985807
    UT WOS000521163500046
    EID SCOPUS85082023593
    DOI10.1109/TIM.2019.2909942
    AnnotationThe 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.
    WorkplaceInstitute of Thermomechanics
    ContactMarie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823
    Year of Publishing2022
    Electronic addresshttps://ieeexplore.ieee.org/document/8694815
Number of the records: 1  

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