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Visible and short-wave near infrared (Vis-SwNIR) spectroscopy was used for the non-invasive classification of engine oil. A total of 150 oil samples from three brands were prepared. The calibration set contains 120 samples which were randomly selected. The remaining 30 samples were used for the prediction. After the spectra measurement, principal component analysis was calculated to cluster the samples...
As for the difficult problem of sensitive feature extraction during fault prediction for nonlinear electromechanical equipment, nonlinear dimensionality reduction ISOMAP (isometric feature mapping) algorithm is introduced based on the comprehensive analysis of the operation state data to reduce the dimensionality of high dimensional operation data and acquire sensitive fault features, furthermore,...
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