Abstract
The theory of cyclostationarity provides many valuable tools for fault detection in rotating machines. Cyclostationarity indicators and bi-frequency maps help to quantify fault-related modulations of vibration signals. High quality and robustness of these tools are achieved at a relatively high computational cost. Thus, industrial application of cyclostationarity is limited to off-line analysis in the post-processing stage. In this paper an on-line updating of cyclostationary tools is investigated alternatively to the moving block approach. As an exemplary cyclostationary tool the cyclic modulation spectrum is involved. The filter bank approach is proposed in order to carry out the sample-by-sample updating. We compare properties of the newly proposed method with the one based on sliding discrete Fourier transform.
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