Time-varying metrics of cyclostationarity for bearing diagnostic

•This paper presents and compare novel approaches to the diagnosis of ball bearings•These are based on the statistical definition of cyclostationarity.•The proposed algorithms are time-varying variance, time-varying kurtosis and time-varying Kolmogorov-Smirnov test•Numerical results prove that the proposed algorithms can appreciably outperform the conventional approaches based on autocorrelation, Spectral Kurtosis and demodulation.