Advanced turbine generator torsional vibration evaluation method using Kalman filtering
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43966029" target="_blank" >RIV/49777513:23520/22:43966029 - isvavai.cz</a>
Result on the web
<a href="https://www.ingentaconnect.com/content/bindt/insight/2022/00000064/00000008/art00004;jsessionid=1k6zup5sgd3ry.x-ic-live-01" target="_blank" >https://www.ingentaconnect.com/content/bindt/insight/2022/00000064/00000008/art00004;jsessionid=1k6zup5sgd3ry.x-ic-live-01</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1784/INSI.2022.64.8.437" target="_blank" >10.1784/INSI.2022.64.8.437</a>
Alternative languages
Result language
angličtina
Original language name
Advanced turbine generator torsional vibration evaluation method using Kalman filtering
Original language description
Turbine-generator torsional vibration is getting a major concern in modern power grids with high level of changeability due to the operation of renewable sources of energy. The traditional absence of standard torsional vibration monitoring and the lack of experience with the operation of torsional vibration monitoring systems open up a wide range of opportunities for the design of torsional vibration monitoring systems and the possibility of their installation in power plants. As the measured signals are adversely affected by noise, proper filtering proves to be essential to capture the torsional vibration information. The benefits of the designed Kalman filtering method are the computational efficiency and the possibility to tackle with two different kinds of noise – the state noise and the measurement noise. The feasibility of the proposed method is demonstrated by case studies based on practical signals measured on steam turbine-generators.
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
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/EF16_026%2F0008389" target="_blank" >EF16_026/0008389: Research Cooperation for Higher Efficiency and Reliability of Blade Machines</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
INSIGHT
ISSN
1354-2575
e-ISSN
1754-4904
Volume of the periodical
64
Issue of the periodical within the volume
8
Country of publishing house
GB - UNITED KINGDOM
Number of pages
5
Pages from-to
437-441
UT code for WoS article
000860987900004
EID of the result in the Scopus database
2-s2.0-85137272461