All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Semiparametric statistical analysis of the Blade Tip Timing data for detection of turbine rotor speed instabilities.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F17%3A00482024" target="_blank" >RIV/61388998:_____/17:00482024 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985807:_____/17:00482024

  • Result on the web

    <a href="http://www.enbis.org/activities/events/current/534_ENBIS_17_in_Naples//abstracts" target="_blank" >http://www.enbis.org/activities/events/current/534_ENBIS_17_in_Naples//abstracts</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Semiparametric statistical analysis of the Blade Tip Timing data for detection of turbine rotor speed instabilities.

  • Original language description

    ENBIS-17 in Naples (Italy), 9.-14. 9. 2017, European Network for Business and Industrial Statistics. We will present a semiparametric statistical model for detecting instabilities in a turbine rotor speed. The modeling and detection uses data obtained from the now standard BTT (Blade Tip Timing) contactless measurement method. The model is based on time-varying coefficient model formulated as a GAM (Generalized Additive Model) with appropriately selected penalty. Our approach can be perceived as a fully formalized time-varying statistical extension of the traditional Fourier analysis. As such, it can reveal important rotor instabilities not readily apparent in the traditional approaches. After presenting the underlying statistical modeling framework, we will illustrate the performance of our methodology on experimental data measured on a test turbine via magneto-resistive BTT technology. The research is supported from the AV21 Strategy of the Academy of Sciences of the Czech Republic.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    20302 - Applied mechanics

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů