Rotating blades state evaluation using relative rotor vibration measurement considering the impact of operating conditions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932210" target="_blank" >RIV/49777513:23520/17:43932210 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Rotating blades state evaluation using relative rotor vibration measurement considering the impact of operating conditions

Popis výsledku v původním jazyce

A turbine can be regarded as a heart of most of installed power plants. The process of heat energy into rotational motion conversion is performed there. The key part of this machine is a rotating blade. Its perfect construction is required for a proper operation. That is the reason, why it is necessary to monitor blade condition. Early detection of blade failure formation can avoid unexpected shutdown, which may cause very high economic losses. It is important especially in terms of the last stages of low-pressure turbine part, where are the longest blades which tend to vibrate at most. This paper describes the effects of operating conditions on blade eigenfrequencies. The results from this research are used to precise real blade natural frequency estimation and to prevent possibly incorrect blade state evaluation. Case-study described in this paper is based on long-term data from steam turbine operation monitoring together with data concurrently measured using relative rotor vibration sensors.

Název v anglickém jazyce

Rotating blades state evaluation using relative rotor vibration measurement considering the impact of operating conditions

Popis výsledku anglicky

A turbine can be regarded as a heart of most of installed power plants. The process of heat energy into rotational motion conversion is performed there. The key part of this machine is a rotating blade. Its perfect construction is required for a proper operation. That is the reason, why it is necessary to monitor blade condition. Early detection of blade failure formation can avoid unexpected shutdown, which may cause very high economic losses. It is important especially in terms of the last stages of low-pressure turbine part, where are the longest blades which tend to vibrate at most. This paper describes the effects of operating conditions on blade eigenfrequencies. The results from this research are used to precise real blade natural frequency estimation and to prevent possibly incorrect blade state evaluation. Case-study described in this paper is based on long-term data from steam turbine operation monitoring together with data concurrently measured using relative rotor vibration sensors.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/TG02010011" target="_blank" >TG02010011: Podpora komerčních příležitostí ZČU</a><br>

Návaznosti

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

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

First World Congress on Condition Monitoring – WCCM 2017

ISBN

978-0-903132-64-0

ISSN

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e-ISSN

neuvedeno

Počet stran výsledku

11

Strana od-do

1-11

Název nakladatele

The British Institute for Non-Destructive Testing

Místo vydání

Northampton, UK

Místo konání akce

ILEC Conference Center London

Datum konání akce

12. 6. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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