Wavelets for fault diagnosis of rotary machines: A review with applications
Top Cited Papers
- 1 March 2014
- journal article
- review article
- Published by Elsevier BV in Signal Processing
- Vol. 96, 1-15
- https://doi.org/10.1016/j.sigpro.2013.04.015
Abstract
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This publication has 100 references indexed in Scilit:
- Modeling of wave propagation in one-dimension structures using B-spline wavelet on interval finite elementFinite Elements in Analysis and Design, 2012
- Robust health evaluation of gearbox subject to tooth failure with wavelet decompositionJournal of Sound and Vibration, 2009
- Wavelet analysis of sensor signals for tool condition monitoring: A review and some new resultsInternational Journal of Machine Tools and Manufacture, 2009
- End milling tool breakage detection using lifting scheme and Mahalanobis distanceInternational Journal of Machine Tools and Manufacture, 2008
- A comparative study on damage detection in speed-up and coast-down process of grinding spindle-typed rotor-bearing systemJournal of the American Academy of Dermatology, 2007
- Fault diagnosis of rotating machinery based on auto-associative neural networks and wavelet transformsJournal of Sound and Vibration, 2007
- Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling: A method for bearing prognosticsJournal of Sound and Vibration, 2007
- Vibration analysis with lifting scheme and generalized cross validation in fault diagnosis of water hydraulic systemJournal of Sound and Vibration, 2007
- Multi-fault diagnosis of rolling bearing elements using wavelet analysis and hidden Markov model based fault recognitionNDT & E International, 2005
- Feature separation using ICA for a one-dimensional time series and its application in fault detectionJournal of Sound and Vibration, 2005