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 Description: Principal component analysis (PCA) is based fault diagnosis technique multivariate statistical process control at the core of the current, it is based on the original data space, by constructing a new set of latent variables to reduce the dimension of the original data space, and then re-mapping space the main change in information extraction, feature extraction statistics, which constitutes the raw data to understand spatial characteristics.
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