ALGORITHM OF CLASSIFICATION OF SHAFT ORBITS
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Abstract
Classification of spatial patterns of shaft orbits is studied in this paper. Recent methods of signal processing, such as spectral interference frequency refinement method, Mallat scattering transform were tested for task of obtaining patterns, informative features extraction and classification. Strong dependence on fluctuations of signal parameters and significant variability of spatial patterns has been discussed. Effectiveness of ranking of patterns using different approaches has been estimated using computational modelling and natural experiments. Preprocessing of signal and informative features has been considered. Approach of discrimination of different misalignment types and severities, based on rate of occurrence of classes of spatial patterns, has been proposed, its effectiveness has been demonstrated.
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