Advanced turbine generator torsional vibration evaluation method using Kalman filtering

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Advanced turbine generator torsional vibration evaluation method using Kalman filtering

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Advanced turbine generator torsional vibration evaluation method using Kalman filtering

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/EF16_026%2F0008389" target="_blank" >EF16_026/0008389: Výzkumná spolupráce pro dosažení vyšší účinnosti a spolehlivosti lopatkových strojů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

INSIGHT

ISSN

1354-2575

e-ISSN

1754-4904

Svazek periodika

64

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

5

Strana od-do

437-441

Kód UT WoS článku

000860987900004

EID výsledku v databázi Scopus

2-s2.0-85137272461