articleTop 10% cited
THE RELATIONSHIP BETWEEN SPECTRAL CORRELATION AND ENVELOPE ANALYSIS IN THE DIAGNOSTICS OF BEARING FAULTS AND OTHER CYCLOSTATIONARY MACHINE SIGNALS
Mechanical Systems and Signal Processing · 2001 · Vol. 15(5) · pp. 945–962
Machine Fault Diagnosis TechniquesEngineering Diagnostics and ReliabilityAdvanced Measurement and Detection MethodsCyclostationary processAutocorrelationRolling-element bearingBearing (navigation)VibrationFourier transformEnvelope (radar)AcousticsControl theory (sociology)Engineering
Funding
- Australian Government
- Defence Science and Technology Group
Citations
714
FWCI
14.74
field-weighted impact
References
8
Percentile
99%
vs. same field & year
Citations per year
Cited by
The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines
Mechanical Systems and Signal Processing · 2004 · 1,255 citations
The Autogram: An effective approach for selecting the optimal demodulation band in rolling element bearings diagnosis
Mechanical Systems and Signal Processing · 2017 · 423 citations
Cyclostationarity by examples
Mechanical Systems and Signal Processing · 2008 · 641 citations
The infogram: Entropic evidence of the signature of repetitive transients
Mechanical Systems and Signal Processing · 2015 · 644 citations
A summary of fault modelling and predictive health monitoring of rolling element bearings
Mechanical Systems and Signal Processing · 2015 · 433 citations
Rolling element bearing diagnostics—A tutorial
Mechanical Systems and Signal Processing · 2010 · 2,459 citations
Cyclostationary modelling of rotating machine vibration signals
Mechanical Systems and Signal Processing · 2003 · 465 citations
A review on machinery diagnostics and prognostics implementing condition-based maintenance
Mechanical Systems and Signal Processing · 2005 · 4,389 citations
References
OPTIMISATION OF BEARING DIAGNOSTIC TECHNIQUES USING SIMULATED AND ACTUAL BEARING FAULT SIGNALS
Mechanical Systems and Signal Processing · 2000 · 504 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
