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_____%2F18%3A00490148" target="_blank" >RIV/61388998:_____/18:00490148 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/18:00490148
Result on the web
<a href="http://dx.doi.org/10.1002/qre.2327" target="_blank" >http://dx.doi.org/10.1002/qre.2327</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/qre.2327" target="_blank" >10.1002/qre.2327</a>
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
In this paper, we propose an extension of an existing standard approach to the blade tip timing data when analyzing turbine rotor vibrations. Instabilities related to the non‐constant trigonometric coefficients at prominent frequencies might not be noticed in the traditional analyses. Our methodology is based on time‐varying coefficient statistical models, and hence it allows a full formalization of the estimation and other inferential tasks (uncertainty assessments, hypothesis tests etc.). First, we formulate a univariate generalized additive model that is useful for investigation of vibration behavior of individual blades. It can extract trajectories of the trigonometric coefficients. Using the trajectories, one can investigate time changes of power at a given frequency. In the second approach, we use a multivariate model for simultaneous assessment of all of the rotor blades. The model acknowledges similarity of the vibration behavior of closely located blades. It is formulated as a state‐space model, and hence it allows for a wide range of prediction, smoothing, and filtering tasks. We illustrate the performance and practical usefulness of our models on real blade tip timing turbine monitoring data obtained from the Czech nuclear power plant Temelin.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Quality and Reliability Engineering International
ISSN
0748-8017
e-ISSN
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Volume of the periodical
34
Issue of the periodical within the volume
7
Country of publishing house
GB - UNITED KINGDOM
Number of pages
7
Pages from-to
1308-1314
UT code for WoS article
000445334700002
EID of the result in the Scopus database
2-s2.0-85053641718