Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling: A method for bearing prognostics
Top Cited Papers
- 20 February 2007
- journal article
- Published by Elsevier in Journal of Sound and Vibration
- Vol. 302 (4-5), 951-961
- https://doi.org/10.1016/j.jsv.2007.01.001
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machinesMechanical Systems and Signal Processing, 2006
- Tool wear condition monitoring in drilling operations using hidden Markov models (HMMs)International Journal of Machine Tools and Manufacture, 2001
- Bispectral and trispectral features for machine condition diagnosisIEE Proceedings - Vision, Image, and Signal Processing, 1999
- Statistical analysis of sound and vibration signals for monitoring rolling element bearing conditionApplied Acoustics, 1998
- Using neural networks for the diagnosis of localized defects in ball bearingsTribology International, 1997
- Wavelet decomposition of vibrations for detection of bearing-localized defectsNDT & E International, 1997
- Application of statistical moments to bearing failure detectionApplied Acoustics, 1995
- On initial fault detection of a tapered roller bearing: Frequency domain analysisJournal of Sound and Vibration, 1992
- A tutorial on hidden Markov models and selected applications in speech recognitionProceedings of the IEEE, 1989
- Vibration monitoring of rolling element bearings by the high-frequency resonance technique — a reviewTribology International, 1984