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In this paper, we investigate a novel method to estimate, from measured single time series data, complex quadratic coupling coefficients in order to quantify the "strength" of nonlinear frequency interactions associated with rotating machine degradation. Such knowledge may provide new physical insight and new nonlinear signatures useful for advanced condition monitoring.
Higher-order spectra such as the bispectrum/bicoherence are widely used for the analysis of various nonlinear phenomena. However, the traditional bicoherence definition fails when its 'phase randomization' assumption is not satisfied, and this assumption is often not appropriate for continuous health monitoring of rotating machines. Therefore, we propose a novel quadratic phase coupling detector based...
In this paper, we propose a novel condition monitoring method for adjustable speed drives (ASD) and ASD-driven motors. The key idea is to diagnose the status of the load side of an ASD from observations made at the source side. The use of a higher-order spectral metric, the cross bicoherence, is proposed for the detection and analysis of anomalies associated with nonlinear devices in ASD systems....
Since a damaged or abnormal-state machine often generates highly nonlinear signals, it is desirable to use a tool that can effectively detect and analyze nonlinear signatures. The bicoherence has been proposed for such nonlinear analysis since it is a measure of the phase coupling between interacting frequency components. However, the bicoherence has some difficulties in machine condition monitoring...
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