Cyclic spectral analysis in practice

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Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators (2018, methodology): “cyclostationary analysis [48], [49] and empirical mode decomposition and its variants [50].”
The Autogram: An effective approach for selecting the optimal demodulation band in rolling element bearings diagnosis (2018, neutral): “A signal is assumed to be cyclostationary of order n when its n th order statistics is periodic, i.e. after passing the signal through any nonlinear transformation including n th power it can be represented by a Fourier series [3, 18].”
An extensive review of vibration modelling of rolling element bearings with localised and extended defects (2015, methodology): “The 222 authors of the models [49–51] used the theory of cyclostationarity [214–218], and characterised the bearing 223”
Fast computation of the spectral correlation (2017, methodology): “It is also proved in Appendix B that the frequency resolution of the Fast-SC is for the carrier frequency and for the cyclic frequency, which is again in perfect accordance with other quadratic estimators of the SC (including the ACP) reported in [1].”