Real-time turbine-generator rotor torsional vibration monitoring

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43966529" target="_blank" >RIV/49777513:23520/22:43966529 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9983191" target="_blank" >https://ieeexplore.ieee.org/document/9983191</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ME54704.2022.9983191" target="_blank" >10.1109/ME54704.2022.9983191</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Real-time turbine-generator rotor torsional vibration monitoring

Popis výsledku v původním jazyce

This paper presents a novel method for turbinegenerator rotor torsional vibration monitoring. Torsional vibrations can be evaluated from an accurate knowledge of the angular velocity of the rotor. The input information for calculating the angular velocity is the data measured by an incremental encoder. However, the analysis of torsional vibrations of a turbine-generator rotor is such a specific task that it is not possible to use traditional methods for incremental encoder data processing. The novelty of the described method lies just in the way the measured data are processed. For this purpose, a multi-step algorithm was built, including a Kalman filter. Thanks to this, the resulting algorithm could be recursive and thus able to adapt to changes of operational conditions. At the same time, a result error is also given. The suitability of the chosen approach is confirmed by a series of case studies, in which the evaluation of the torsional vibrations of the rotors of large steam and gas turbines is shown.

Název v anglickém jazyce

Real-time turbine-generator rotor torsional vibration monitoring

Popis výsledku anglicky

This paper presents a novel method for turbinegenerator rotor torsional vibration monitoring. Torsional vibrations can be evaluated from an accurate knowledge of the angular velocity of the rotor. The input information for calculating the angular velocity is the data measured by an incremental encoder. However, the analysis of torsional vibrations of a turbine-generator rotor is such a specific task that it is not possible to use traditional methods for incremental encoder data processing. The novelty of the described method lies just in the way the measured data are processed. For this purpose, a multi-step algorithm was built, including a Kalman filter. Thanks to this, the resulting algorithm could be recursive and thus able to adapt to changes of operational conditions. At the same time, a result error is also given. The suitability of the chosen approach is confirmed by a series of case studies, in which the evaluation of the torsional vibrations of the rotors of large steam and gas turbines is shown.

Druh

D - Stať ve sborníku

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 statě ve sborníku

Proceedings of the 2022 20th International Conference on Mechatronics - Mechatronika (ME)

ISBN

978-1-66541-040-3

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

271-275

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Praha

Místo konání akce

Plzeň

Datum konání akce

7. 12. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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