Feature extraction method of wind turbine based on adaptive Morlet wavelet and SVD

Renewable Energy

Volumn 36, Issue 8, 2011, Pages 2146-2153

  Jiang, Yonghua ^a,b   Tang, Baoping ^b   Qin, Yi ^b   Liu, Wenyi ^b  

^a ZHEJIANG NORMAL UNIVERSITY   (China)

^b CHONGQING UNIVERSITY   (China)

Author keywords

Adaptive Morlet wavelet; Continuous wavelet transform (CWT); Feature extraction; Scale periodical exponential (SPE); Singular value decomposition (SVD); Wind turbine

Indexed keywords

BANDWIDTH PARAMETERS; CENTRAL FREQUENCY; CONSTRUCTION METHOD; CONTINUOUS WAVELET TRANSFORMS; DE-NOISING; DENOISING METHODS; EXPERIMENTAL ANALYSIS; FAULT DIAGNOSIS; FEATURE EXTRACTION METHODS; MATRIX; MORLET WAVELET; OPTIMAL MATCH; PLANETARY GEARBOXES; ROLLING BEARINGS; SCALE PERIODICAL EXPONENTIAL (SPE); SHANNON WAVELET; SIGNAL DENOISING; SIGNALS OF INTERESTS; SINGULAR VALUE DECOMPOSITION (SVD); TIME-FREQUENCY RESOLUTION; VIBRATION SIGNAL; WAVELET COEFFICIENTS;

BEARINGS (MACHINE PARTS); FEATURE EXTRACTION; NOISE POLLUTION CONTROL; OPTIMIZATION; SIGNAL PROCESSING; VIBRATION ANALYSIS; WAVELET DECOMPOSITION; WIND POWER; WIND TURBINES;

SINGULAR VALUE DECOMPOSITION;

EXPERIMENTAL STUDY; NOISE; VIBRATION; WAVELENGTH; WAVELET ANALYSIS; WIND POWER; WIND TURBINE;

EID: 79952455704     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2011.01.009     Document Type: Article

References (21)

1. Liu W.Y., Tang B.P., Jiang Y.H. Status and problems of wind turbine structural health monitoring techniques in China. Renewable Energy 2010, 35(7):1414-1418.
2. Loutridis S.J. Instantaneous energy density as a feature for gear fault detection. Mechanical Systems and Signal Processing 2006, 20(5):1239-1253.
3. Chen J.S., Yu D.J., Yang Y. Time-energy density analysis based on wavelet transforms. NDT & T International 2005, 38(7):569-572.
4. Yang W.X., Ren X.M. Detecting impulses in mechanical signals by wavelets. EURASIP Journal on Applied Signal Processing 2004, 8:1156-1162.
5. Chanerley A.A., Alexander N.A. Correcting data from an unknown accelerometer using recursive least squares and wavelet de-noising. Computers & Structures 2007, 85(21):1679-1692.
6. Qin Y., Tang B.P., Wang J.X. Higher-density dyadic wavelet transform and its application. Mechanical Systems and Signal Processing 2010, 24(3):823-834.
7. Ioannis D., Omer H., Kitney R. Wavelet-based de-noising algorithm for images acquired with parallel magnetic resonance imaging (MRI). Physics in Medicine and Biology 2007, 52:3741-3751.
8. Rafiee J., Tse P.W., Harifi A., Sadeghi M.H. A novel technique for selecting mother wavelet function using an intelligent fault diagnosis system. Expert Systems with Applications 2009, 36(3):4862-4875.
9. Donoho D.L. Denoising by soft-thresholding. IEEE Transactions on Information Theory 1995, 41:613-627.
10. Donoho D.L., Jonestone I.M. Ideal spatial adaptation via wavelet shrinkage. Biometrika 1994, 81:425-455.
11. Liang L., Xu G.H., Hou C.G. Continuous wavelet transform denoising method based on singular value decomposition. Journal of Xi'An Jiaotong University 2004, 38(9):904-908. [in Chinese].
12. Lin J., Qu L.S. Feature extraction based on Morlet wavelet and its application for mechanical fault diagnosis. Journal of Sound and Vibration 2000, 234(1):135-148.
13. Staszewski W.J. Identification of damping in mode system using time-scale decomposition. Journal of Sound and Vibration 1997, 203:283-305.
14. Jiang Y.H., Tang B.P., Liu W.Y., Dong S.J. Feature extraction method based on parameter optimized Morlet wavelet transform. Chinese Journal of Scientific Instrument 2010, 31(1):56-60. [in Chinese].
15. Nikolaou N.G., Antoniadis I.A. Demodulation of vibration signals generated by defects in rolling element bearings using complex shifted Morlet wavelets. Mechanical Systems and Signal Processing 2002, 16(4):677-694.
16. Yang W.X., Peter W.T. Development of an advanced noise reduction method for vibration analysis based on singular value decomposition. NDT & T International 2003, 36(6):419-432.
17. Brenner M.J. Non-stationary dynamics data analysis with wavelet-SVD filtering. Mechanical Systems and Signal Processing 2003, 17(4):765-786.
18. Kanjilal P.P. On multiple pattern extraction using singular value decomposition. IEEE Trans on Signal Processing 1995, 43(6):1536-1540.
19. Kanjilal P.P. Fetal ECG extraction from single-channel maternal ECG using singular value decomposition. IEEE Trans on Biomedical Engineering 1997, 44(1):51-59.
20. Jian L., Liu H.X. Detection of periodic impulse components in signals using singular value decomposition. Journal of Vibration Engineering 2002, 15(4):415-418. [in Chinese].
21. Qin Y., Qin S.R., Mao Y.F. Research on iterated Hilbert transform and its application in mechanical fault diagnosis. Mechanical Systems and Signal Processing 2008, 22(8):1967-1980.