![](/images/graphics-bg.png)
EMD and Wavelet Transform Based Fault Diagnosis for Wind Turbine Gear Box
Joint Authors
Source
Advances in Mechanical Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-01
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Wind turbines are mainly located in harsh environment, and the maintenance is therefore very difficult.
The wind turbine faults are mostly from the gear box, and the fault signal is generally nonlinear and nonstationary.
The traditional fault diagnosis methods such as Fast Fourier transform (FFT) and the inverted frequency spectrum identification method based on FFT are not satisfactory in processing this kind of signal.
This paper proposes a hybrid fault diagnosis method which combines the empirical mode decomposition (EMD) and wavelet transform.
The vibration signal is analyzed through wavelet transform, and the aliasing in high-frequency signals is then addressed by conducting EMD to the original signals.
The experimental results based on a specific wind turbine gear box demonstrate that this method can diagnose the faults and locate their positions accurately.
American Psychological Association (APA)
Yang, Qingyu& An, Dou. 2013. EMD and Wavelet Transform Based Fault Diagnosis for Wind Turbine Gear Box. Advances in Mechanical Engineering،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-454965
Modern Language Association (MLA)
Yang, Qingyu& An, Dou. EMD and Wavelet Transform Based Fault Diagnosis for Wind Turbine Gear Box. Advances in Mechanical Engineering No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-454965
American Medical Association (AMA)
Yang, Qingyu& An, Dou. EMD and Wavelet Transform Based Fault Diagnosis for Wind Turbine Gear Box. Advances in Mechanical Engineering. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-454965
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-454965