articleTop 1% cited
The Autogram: An effective approach for selecting the optimal demodulation band in rolling element bearings diagnosis
Mechanical Systems and Signal Processing · 2017 · Vol. 105 · pp. 294–318
Ali Moshrefzadeh✉(Politecnico di Torino)Alessandro Fasana(Politecnico di Torino)
Machine Fault Diagnosis TechniquesFault Detection and Control SystemsGear and Bearing Dynamics AnalysisRolling-element bearingKurtosisCyclostationary processDemodulationSIGNAL (programming language)Envelope (radar)Noise (video)AutocorrelationVibrationAlgorithm
Citations
423
FWCI
13.44
field-weighted impact
References
24
Percentile
99%
vs. same field & year
Citations per year
References
Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study
Mechanical Systems and Signal Processing · 2015 · 2,405 citations
The infogram: Entropic evidence of the signature of repetitive transients
Mechanical Systems and Signal Processing · 2015 · 644 citations
Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications
Mechanical Systems and Signal Processing · 2015 · 483 citations
Rolling element bearing diagnostics—A tutorial
Mechanical Systems and Signal Processing · 2010 · 2,459 citations
Application of an improved kurtogram method for fault diagnosis of rolling element bearings
Mechanical Systems and Signal Processing · 2011 · 478 citations
Fast computation of the kurtogram for the detection of transient faults
Mechanical Systems and Signal Processing · 2006 · 1,506 citations
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 · 714 citations
The spectral kurtosis: a useful tool for characterising non-stationary signals
Mechanical Systems and Signal Processing · 2004 · 1,321 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.