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An analysis of Generalized Symmetrical Components in non sinusoidal three phase systems
(2011-12-28)
This paper presents the study of the so called Generalized Symmetrical Components, proposed by Tenti et. al. to the analysis of unbalanced periodic non sinusoidal three phase systems. As a result, it was possible to establish ...
An analysis of Generalized Symmetrical Components in non sinusoidal three phase systems
(2011-12-28)
This paper presents the study of the so called Generalized Symmetrical Components, proposed by Tenti et. al. to the analysis of unbalanced periodic non sinusoidal three phase systems. As a result, it was possible to establish ...
Using independent component for clustering of time series data
(Elsevier, 2020)
AN ANALYSIS OF GENERALIZED SYMMETRICAL COMPONENTS IN NON SINUSOIDAL THREE PHASE SYSTEMS
(Ieee, 2011-01-01)
This paper presents the study of the so called Generalized Symmetrical Components, proposed by Tenti et. al. to the analysis of unbalanced periodic non sinusoidal three phase systems. As a result, it was possible to establish ...
Damage Detection Based on Electromechanical Impedance Principle and Principal Components
(2014-01-01)
This paper presents a novel time domain approach for Structural Health Monitoring (SHM) systems based on Electromechanical Impedance (EMI) principle and Principal Component Coefficients (PCC), also known as loadings. ...
Damage Detection Based on Electromechanical Impedance Principle and Principal Components
(2014-01-01)
This paper presents a novel time domain approach for Structural Health Monitoring (SHM) systems based on Electromechanical Impedance (EMI) principle and Principal Component Coefficients (PCC), also known as loadings. ...
Principal Component Analysis Handbook
(Clanrye InternationalJersey City, 2015)
This book on Principal component analysis (PCA) is a significant contribution to the field of data analysis. PCA involves a statistical procedure which orthogonally transforms a set of possibly correlated observations into ...
Principal Component Analysis Handbook
(Clanrye InternationalJersey City, 2015)
This book on Principal component analysis (PCA) is a significant contribution to the field of data analysis. PCA involves a statistical procedure which orthogonally transforms a set of possibly correlated observations into ...