Cyclic spectral analysis of rolling-element bearing signals: Facts and fictions
Top Cited Papers
- 7 May 2007
- journal article
- Published by Elsevier BV in Journal of Sound and Vibration
- Vol. 304 (3-5), 497-529
- https://doi.org/10.1016/j.jsv.2007.02.029
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- Fast computation of the kurtogram for the detection of transient faultsMechanical Systems and Signal Processing, 2007
- The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machinesMechanical Systems and Signal Processing, 2006
- Unsupervised noise cancellation for vibration signals: part I—evaluation of adaptive algorithmsMechanical Systems and Signal Processing, 2004
- CYCLOSTATIONARY ANALYSIS OF ROLLING-ELEMENT BEARING VIBRATION SIGNALSJournal of Sound and Vibration, 2001
- THE RELATIONSHIP BETWEEN SPECTRAL CORRELATION AND ENVELOPE ANALYSIS IN THE DIAGNOSTICS OF BEARING FAULTS AND OTHER CYCLOSTATIONARY MACHINE SIGNALSMechanical Systems and Signal Processing, 2001
- A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearingsTribology International, 1999
- On initial fault detection of a tapered roller bearing: Frequency domain analysisJournal of Sound and Vibration, 1992
- Model for the vibration produced by a single point defect in a rolling element bearingJournal of Sound and Vibration, 1984
- Identification of Bearing Defects by Spectral AnalysisJournal of Mechanical Design, 1980
- Detection of Rolling Element Bearing Damage by Statistical Vibration AnalysisJournal of Mechanical Design, 1978