Fault Detection Enhancement in Rolling Element Bearings Using the Minimum Entropy Deconvolution
Open Access
- 29 January 2012
- journal article
- Published by Polish Academy of Sciences Chancellery in Archives of Acoustics
- Vol. 37 (2) , 131-141
Abstract
No abstract availableThis publication has 21 references indexed in Scilit:
- The synchronous (time domain) average revisitedMechanical Systems and Signal Processing, 2011
- Rolling element bearing diagnostics—A tutorialMechanical Systems and Signal Processing, 2011
- A novel method for the optimal band selection for vibration signal demodulation and comparison with the KurtogramMechanical Systems and Signal Processing, 2011
- Decomposition of Vibration Signals into Deterministic and Nondeterministic Components and its Capabilities of Fault Detection and IdentificationInternational Journal of Applied Mathematics and Computer Science, 2009
- Decomposition Of The Symptom Observation Matrix And Grey Forecasting In Vibration Condition Monitoring Of MachinesInternational Journal of Applied Mathematics and Computer Science, 2008
- The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machinesMechanical Systems and Signal Processing, 2006
- THE RELATIONSHIP BETWEEN SPECTRAL CORRELATION AND ENVELOPE ANALYSIS IN THE DIAGNOSTICS OF BEARING FAULTS AND OTHER CYCLOSTATIONARY MACHINE SIGNALSMechanical Systems and Signal Processing, 2001
- EXTRACTION OF IMPACTING SIGNALS USING BLIND DECONVOLUTIONJournal of Sound and Vibration, 2000
- Blind deconvolution of ultrasonic signals in nondestructive testing applicationsIEEE Transactions on Signal Processing, 1997
- Minimum entropy deconvolutionGeoexploration, 1978