Characterization of Green and Roasted Coffees through the Chlorogenic Acid Fraction by HPLC-UV and Principal Component Analysis

1995 ◽  
Vol 43 (6) ◽  
pp. 1549-1555 ◽  
Author(s):  
Carlo P. Bicchi ◽  
Arianna E. Binello ◽  
Gloria M. Pellegrino ◽  
Alfredo C. Vanni
Keyword(s):  
Principal Component Analysis ◽  
Chlorogenic Acid ◽  
Principal Component ◽  
Component Analysis ◽  
Acid Fraction

Scope and limitations of principal component analysis of high resolution LC-TOF-MS data: the analysis of the chlorogenic acid fraction in green coffee beans as a case study

2011 ◽  
Vol 3 (1) ◽  
pp. 144-155 ◽  
Author(s):  
Nikolai Kuhnert ◽  
Rakesh Jaiswal ◽  
Pinkie Eravuchira ◽  
Rasha M. El-Abassy ◽  
Bernd von der Kammer ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
High Resolution ◽  
Chlorogenic Acid ◽  
Principal Component ◽  
Green Coffee ◽  
Acid Fraction ◽  
Green Coffee Beans ◽  
Coffee Beans ◽  
Tof Ms

Characterization of fretting wear experiments on spline couplings by principal component analysis

2016 ◽  
Vol 231 (7) ◽  
pp. 860-868 ◽  
Author(s):  
Waqar Qureshi ◽  
Francesca Cura ◽  
Andrea Mura
Keyword(s):  
Experimental Data ◽  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Fretting Wear ◽  
Aircraft Industry ◽  
Surface Movement ◽  
Noisy Measurements ◽  
Quasi Static Process

Fretting wear is a quasi-static process in which repeated relative surface movement of components results in wear and fatigue. Fretting wear is quite significant in the case of spline couplings which are frequently used in the aircraft industry to transfer torque and power. Fretting wear depends on materials, pressure distribution, torque, rotational speeds, lubrication, surface finish, misalignment between spline shafts, etc. The presence of so many factors makes it difficult to conduct experiments for better models of fretting wear and it is the case whenever a mathematical model is sought from experimental data which is prone to noisy measurements, outliers and redundant variables. This work develops a principal component analysis based method, using a criterion which is insensitive to outliers, to realize a better design and interpret experiments on fretting wear. The proposed method can be extended to other cases too.

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