Time-frequency methods for signal analysis in wind turbines

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

Time-frequency methods for signal analysis in wind turbines

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20205 - Automation and control systems

Project

<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>

Continuities

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

Publication year

2015

Confidentiality

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

Article name in the collection

Journal of Physics: Conference Series, Volume 659

ISBN

—

ISSN

1742-6588

e-ISSN

—

Number of pages

12

Pages from-to

1-12

Publisher name

IOP Publishing

Place of publication

Bristol

Event location

Pilsen

Event date

Nov 19, 2015

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000368103000012