Cyclic spectral analysis of rolling-element bearing signals : Facts and fictions

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The Autogram: An effective approach for selecting the optimal demodulation band in rolling element bearings diagnosis (2018, neutral): “Spectral Correlation (SC) [12] and Cyclic Modulation Spectrum (CMS) [13] are two key approaches for CSA.”
The infogram: Entropic evidence of the signature of repetitive transients (2016, background): “This practice is well-known in detection theory and its benefit was clearly demonstrated in the cyclostationary context where the pre-whitened version of the spectral correlation – the “spectral coherence” – usually better enhances the signal of interest [24].”
Fast computation of the spectral correlation (2017, methodology): “[11], the Spectral Coherence is computed instead of the SC.”
An extensive review of vibration modelling of rolling element bearings with localised and extended defects (2015, background): “The 224 emphasis of the stochastic models presented in references [48–51] was focused on the diagnostics of defective 225 rolling element bearings using cyclic spectral density analysis [17, 216, 217].”