Gearbox fault diagnosis of rolling mills using multiwavelet sliding window neighboring coefficient denoising and optimal blind deconvolution

Science in China, Series E: Technological Sciences

Volumn 52, Issue 10, 2009, Pages 2801-2809

  Yuan, Jing ^a   He, Zhengjia ^a   Zi, Yanyang ^a   Liu, Han ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b BAOSTEEL RESEARCH INSTITUTE   (China)

Author keywords

Blind deconvolution; Gearbox fault diagnosis; Multiwavelet denoising; Rolling mill

Indexed keywords

BACKGROUND NOISE; BLIND DECONVOLUTION; DE-NOISING; FAULT DIAGNOSIS; FAULT DIAGNOSTICS; FAULT FEATURE; FILTER LENGTH; GEARBOX FAULT DIAGNOSIS; HIGH-QUALITY PRODUCTS; HOT STRIP FINISHING MILLS; MAIN DRIVE; MULTI-WAVELETS; MULTIWAVELET; MULTIWAVELET DENOISING; NOISY SIGNALS; NOVEL METHODS; SAFE OPERATION; SCALAR WAVELET; SELECTION BASED; SLIDING WINDOW; THRESHOLD DENOISING; THRESHOLDING TECHNIQUES; WAVELET BASIS FUNCTIONS;

FAILURE ANALYSIS; FAULT DETECTION; FEATURE EXTRACTION; GEAR MANUFACTURE; MILLING MACHINES; OPTIMIZATION; SIGNAL PROCESSING; STRIP MILLS; WINDOWS;

CONVOLUTION;

EID: 70349271011     PISSN: 10069321     EISSN: 1862281X     Source Type: Journal    
DOI: 10.1007/s11431-009-0253-7     Document Type: Article

References (21)

1. Y. Lu Y. R. Li Z. G. Wang 2007 Fault diagnosis of redactor for the main drive system of rolling mill based on Empirical Mode Decomposition (in Chinese) J Vib Meas Diag 27 2 58 62
2. J. Y. Zhang L. X. Gao L. L. Cui 2007 Study on denoising technology of vibration signals of rolling mills based on wavelet transformation (in Chinese) J Vib Shock 26 5 71 73
3. S. Lesecq S. Gentil 2008 Signal-based diagnostic algorithms integrating model validity in the decision Control Eng Practice 16 1120 1131
4. L. C. Wei H. C. Cheng Y. Y. Jia 2009 Using MPCA of spectra model for fault detection in a hot strip mill J Mater Proc Technol 209 8 4162 4168
5. Daubechies. Ten Lectures on Wavelets. CBMS-Conference Lecture Notes, SIMA Philadelphia, 1992
6. Z. J. He H. R. Cao Z. Li 2009 The principle of second generation wavelet for milling butter breakage detection Sci China Ser E-Tech Sci 52 5 1312 1322
7. V. Strela P. N. Heller G. Strang 1999 The application of multiwavelet filterbanks to image processing IEEE Trans Image Proc 8 4 548 563
8. G. Y. Chen T. D. Bui 2003 Multiwavelets denoising using neighboring coefficients IEEE Trans Signal Proc 10 7 211 214
9. S. E. Khadem M. Rezaee 2003 Development of vibration signature analysis using multiwavelet systems J Sound Vib 261 613 633
10. Z. A. Amir A. Z. Valery 2007 Multiwavelet frames in signal space originated from hermite splines IEEE Trans Signal Proc 55 3 797 808
11. J. Yuan Z. J. He Y. Y. Zi 2009 Adaptive multiwavelets via two-scale similarity transforms for rotating machinery fault diagnosis Mech Syst Signal Proc 23 5 1490 1508
12. J. Yuan Z. J. He X. D. Wang 2009 Translation-invariant multiwavelets denoising using neighboring coefficients and its application to monitoring and diagnosis (in Chinese) J Mech Eng 45 4 155 160
13. Yuan J, He Z J, Zi Y Y. Separation and extraction of electromechanical equipment compound faults using lifting multiwavelets (in Chinese). J Mech Eng, 2009, doi:10.3901/JME.2009.02.0280
14. J. S. Geronimo D. P. Hardin P. R. Massopust 1994 Fractal functions and wavelet expansions based on several scaling functions J Approx Theor 78 373 401
15. A. K. Nandi D. Mampel B. Roscher 1997 Blind deconvolution of ultrasonic signals in non-destructive testing applications IEEE Trans Signal Proc 45 5 1382 1390
16. J. Y. Lee A. K. Nandi 1999 Extraction of impacting signals using blind deconvolution J Sound Vib 232 5 945 962
17. H. Endo R. B. Randall 2007 Enhancement of autoregressive model based gear tooth fault detection technique by the use of minimum entropy deconvolution filter Mech Syst Signal Proc 21 906 919
18. N. Sawalhi R. B. Randall H. Endo 2007 The enhancement of fault detection and diagnosis in rolling element bearings using minimum entropy deconvolution combined with spectral kurtosis Mech Syst Signal Proc 21 2616 2633
19. T. T. Cai B. W. Silverman 2001 Incorporating information on neighboring coefficients into wavelet estimation Sankhya: Ind J Stat B 63 2 127 148
20. D. L. Donoho 1995 Denoising by soft thresholding IEEE Trans Inf Theor 41 3 613 627
21. J. Yuan Y. Y. Zi Z. J. He 2008