Defect classification using PEC respones based on power spectral density analysis combined with EMD and EEMD
文摘

A new PEC feature (PSD of the IMFs) is investigated.

The PSD distributions from EMD and EEMD transform are analyzed.

The classifiers including PCA-LDA and PCA-Bayes are employed for defect classification.

The multi-resolution IMFs provide an alternative to acquire more classifying features.

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