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Description: Proposed mechanical fault diagnosis method based on Kernel Principal Component Analysis, it retains the advantages of principal component analysis and has the ability to handle nonlinear. The kernel function mapping the nonlinear problem is converted into a high-dimensional linear feature space, the primary element analysis and mapping data in high-dimensional space, extract the nonlinear characteristics of mechanical failure mode identification. Comparative analysis and principal component analysis method, the experimental results show that Kernel Principal Component Analysis method is very effective.
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