Multiwavelet denoising with improved neighboring coefficients for application on rolling bearing fault diagnosis
Authors:
- Xiaodong WangXWXiaodong Wang
- 1 January 2011
- journal article
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 25 (1) , 285-304
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- Multiwavelet construction via an adaptive symmetric lifting scheme and its applications for rotating machinery fault diagnosisMeasurement Science and Technology, 2009
- Fast computation of the kurtogram for the detection of transient faultsMechanical Systems and Signal Processing, 2007
- Wavelet filter-based weak signature detection method and its application on rolling element bearing prognosticsJournal of Sound and Vibration, 2006
- The spectral kurtosis: a useful tool for characterising non-stationary signalsMechanical Systems and Signal Processing, 2006
- The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machinesMechanical Systems and Signal Processing, 2006
- Image denoising with neighbour dependency and customized wavelet and thresholdPattern Recognition, 2005
- Development of an advanced noise reduction method for vibration analysis based on singular value decompositionNDT & E International, 2003
- THE RELATIONSHIP BETWEEN SPECTRAL CORRELATION AND ENVELOPE ANALYSIS IN THE DIAGNOSTICS OF BEARING FAULTS AND OTHER CYCLOSTATIONARY MACHINE SIGNALSMechanical Systems and Signal Processing, 2001
- Construction of Orthogonal Wavelets Using Fractal Interpolation FunctionsSIAM Journal on Mathematical Analysis, 1996
- De-noising by soft-thresholdingIEEE Transactions on Information Theory, 1995