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

Author:

Yuan Jing,He ZhengJia,Zi YanYang,Liu Han

Publisher

Springer Science and Business Media LLC

Reference21 articles.

1. Lu Y, Li Y R, Wang Z G. Fault diagnosis of redactor for the main drive system of rolling mill based on Empirical Mode Decomposition (in Chinese). J Vib Meas Diag, 2007, 27(2): 58–62

2. Zhang J Y, Gao L X, Cui L L, et al. Study on denoising technology of vibration signals of rolling mills based on wavelet transformation (in Chinese). J Vib Shock, 2007, 26(5): 71–73

3. Lesecq S, Gentil S. Signal-based diagnostic algorithms integrating model validity in the decision. Control Eng Practice, 2008, 16: 1120–1131

4. Wei L C, Cheng H C, Jia Y Y, et al. Using MPCA of spectra model for fault detection in a hot strip mill. J Mater Proc Technol, 2009, 209(8): 4162–4168

5. Daubechies. Ten Lectures on Wavelets. CBMS-Conference Lecture Notes, SIMA Philadelphia, 1992

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