Introduction - If you have any usage issues, please Google them yourself
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.