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SN Applied Sciences
This study examines the application of the Principal Component Analysis (PCA) technique to detect the failures in complex industrial processes such as gas turbines used for electric power generation. The early detection of failures in such complex processes is indeed paramount to prevent product deterioration, performance degradation, significant property damage and human health. We identified the PCA model by determining the optimal number of principal components retained in the PCA model,doi:10.1007/s42452-020-2796-y fatcat:iz424ao3kfdshkgs36g7xlba6a