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Fault Detection in a Heat Exchanger, Comparative Analysis between Dynamic Principal Component Analysis and Diagnostic Observers
(Revista Computación y Sistemas; Vol. 14 No. 3, 2011-03-08)
Abstract. A comparison between the Dynamic Principal
Component Analysis (DPCA) method and a set of
Diagnostic Observers (DO) under the same experimental
data from a shell and tube industrial heat exchanger is
presented. ...
Principal component analysis of breeding values for growth and reproductive traits and genetic association with adult size in beef cattle
(Amer Soc Animal Science, 2016-12-01)
Principal component analysis was applied to evaluate the variability and relationships among univariate breeding values predicted for 9 weaning and yearling traits, as well as suggest functions of the traits that would ...
TEACHING EXPERIMENT OF CHEMOMETRICS FOR EXPLORATORY ANALYSIS OF EDIBLE VEGETABLE OILS BY MID INFRARED SPECTROSCOPY AND PRINCIPAL COMPONENT ANALYSIS: A TUTORIAL. PART I.
(Soc Brasileira QuimicaSao PauloBrasil, 2012)
Principal component analysis in studies of substituent-induced carbon-13 chemical shifts of halogenated aliphatic compounds
(Elsevier Science BvAmsterdamHolanda, 2004)
Reduction capability of soil humic substances from the Rio Negro basin, Brazil, towards Hg(II) studied by a multimethod approach and principal component analysis (PCA)
(Elsevier B.V., 2007-03-15)
This paper characterizes humic substances (HS) extracted from soil samples collected in the Rio Negro basin in the state of Amazonas, Brazil, particularly investigating their reduction capabilities towards Hg(II) in order ...
Reduction capability of soil humic substances from the Rio Negro basin, Brazil, towards Hg(II) studied by a multimethod approach and principal component analysis (PCA)
(Elsevier B.V., 2007-03-15)
This paper characterizes humic substances (HS) extracted from soil samples collected in the Rio Negro basin in the state of Amazonas, Brazil, particularly investigating their reduction capabilities towards Hg(II) in order ...
Classification of LiDAR data over building roofs using k-means and principal component analysisClassificação de dados LiDAR sobre telhados de edificações usando k-médias e análise de componentes principais
(2018-01-01)
The classification is an important step in the extraction of geometric primitives from LiDAR data. Normally, it is applied for the identification of points sampled on geometric primitives of interest. In the literature ...
Impact location and quantification on an aluminum sandwich panel using principal component analysis and linear approximation with maximum entropy
(MDPI, 2017)
To avoid structural failures it is of critical importance to detect, locate and quantify impact damage as soon as it occurs. This can be achieved by impact identification methodologies, which continuously monitor the ...