Fault Detection of Wind Turbine Induction Generators through Current Signals and Various Signal Processing Techniques

被引:7
|
作者
Merizalde, Yuri [1 ]
Hernandez-Callejo, Luis [2 ]
Duque-Perez, Oscar [3 ]
Alberto Lopez-Meraz, Raid [4 ]
机构
[1] Univ Guayaquil, Univ Valladolid UVA, Fac Chem Engn, PhD Sch, Guayaquil 593, Ecuador
[2] Univ Valladolid UVA, Dept Agr Engn & Forestry, Campus Univ, Duques De Soria 42004, Soria, Spain
[3] Univ Valladolid UVA, Dept Elect Engn, Escuela Ingn Ind, Paseo Cauce 59, Valladolid 47011, Spain
[4] Univ Verzcruzana, Zona Univ, Unidad Ingn & Ciencias Quim, Xalapa 91000, Veracruz, Mexico
来源
APPLIED SCIENCES-BASEL | 2020年 / 10卷 / 21期
关键词
wind turbine; electric generator; spectral analysis; fault diagnosis; DISCRETE WAVELET TRANSFORM; BROKEN-BAR; BISPECTRUM ESTIMATION; AIRGAP ECCENTRICITY; ONLINE DIAGNOSIS; STATOR WINDINGS; SHORT CIRCUITS; MOTOR; VIBRATION; GEARBOX;
D O I
10.3390/app10217389
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In the wind industry (WI), a robust and effective maintenance system is essential. To minimize the maintenance cost, a large number of methodologies and mathematical models for predictive maintenance have been developed. Fault detection and diagnosis are carried out by processing and analyzing various types of signals, with the vibration signal predominating. In addition, most of the published proposals for wind turbine (WT) fault detection and diagnosis have used simulations and test benches. Based on previous work, this research report focuses on fault diagnosis, in this case using the electrical signal from an operating WT electric generator and applying various signal analysis and processing techniques to compare the effectiveness of each. The WT used for this research is 20 years old and works with a squirrel-cage induction generator (SCIG) which, according to the wind farm control systems, was fault-free. As a result, it has been possible to verify the feasibility of using the current signal to detect and diagnose faults through spectral analysis (SA) using a fast Fourier transform (FFT), periodogram, spectrogram, and scalogram.
引用
收藏
页码:1 / 28
页数:28
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