Time-frequency methods for signal analysis in wind turbines

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43926602" target="_blank" >RIV/49777513:23520/15:43926602 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1088/1742-6596/659/1/012012" target="_blank" >http://dx.doi.org/10.1088/1742-6596/659/1/012012</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1088/1742-6596/659/1/012012" target="_blank" >10.1088/1742-6596/659/1/012012</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Time-frequency methods for signal analysis in wind turbines

Popis výsledku v původním jazyce

Since wind turbines became one of the most often source of renewable energy, appropriate health and condition monitoring systems are required. Especially proper monitoring of offshore plants is very significant because the accessibility is difficult and inspections are very costly. In comparison with conventional rotating machine vibration monitoring, where steady conditions and stationary signal are usually assumed, the wind turbines are characterized by unsteady conditions due to variable rotational speed. Hence the vibration signal is nonstationary and interpretation of signal signatures may be more complex. The common approach to analyze such nonstationary signals is the use of a time frequency method, usually Shor tTime Fourier Transform, which is the most popular one due to its simplicity. Nevertheless, there are other methods which can give a different view at the analyzed data and provide new information. This article investigates the potential use of some other time frequency methods, namely Wavelet Transf orm, Wigner-Ville distribution and Hilbert-Huang transform in wind plants monitoring systems and apply these methods to real measured data with additional simulated bearing fault signal. Finally, the mentioned methods are compared based on computational complexity, readability and interpretability. Though the last two criteria are very subjective, Shor tTime Fourier Transform was finally chosen as the most effective method followed by Wavelet Transform.

Název v anglickém jazyce

Time-frequency methods for signal analysis in wind turbines

Popis výsledku anglicky

Since wind turbines became one of the most often source of renewable energy, appropriate health and condition monitoring systems are required. Especially proper monitoring of offshore plants is very significant because the accessibility is difficult and inspections are very costly. In comparison with conventional rotating machine vibration monitoring, where steady conditions and stationary signal are usually assumed, the wind turbines are characterized by unsteady conditions due to variable rotational speed. Hence the vibration signal is nonstationary and interpretation of signal signatures may be more complex. The common approach to analyze such nonstationary signals is the use of a time frequency method, usually Shor tTime Fourier Transform, which is the most popular one due to its simplicity. Nevertheless, there are other methods which can give a different view at the analyzed data and provide new information. This article investigates the potential use of some other time frequency methods, namely Wavelet Transf orm, Wigner-Ville distribution and Hilbert-Huang transform in wind plants monitoring systems and apply these methods to real measured data with additional simulated bearing fault signal. Finally, the mentioned methods are compared based on computational complexity, readability and interpretability. Though the last two criteria are very subjective, Shor tTime Fourier Transform was finally chosen as the most effective method followed by Wavelet Transform.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/LO1506" target="_blank" >LO1506: Podpora udržitelnosti centra NTIS - Nové technologie pro informační společnost</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Journal of Physics: Conference Series, Volume 659

ISBN

—

ISSN

1742-6588

e-ISSN

—

Počet stran výsledku

12

Strana od-do

1-12

Název nakladatele

IOP Publishing

Místo vydání

Bristol

Místo konání akce

Pilsen

Datum konání akce

19. 11. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000368103000012