ToF-SIMS for the characterization of hyperbranched aliphatic polyesters: probing their molecular weight on surfaces based on principal component analysis (PCA)

2003 ◽  
Vol 35 (8) ◽  
pp. 693-708 ◽  
Author(s):  
Géraldine Coullerez ◽  
Stefan Lundmark ◽  
Eva Malmström ◽  
Anders Hult ◽  
Hans Jörg Mathieu
Keyword(s):  
Molecular Weight ◽  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Aliphatic Polyesters ◽  
Tof Sims

Application of principal component analysis and tof-sims to mineral recognition, surface chemistry and separation by flotation

2006 ◽  
Vol 70 (18) ◽  
pp. A597 ◽  
Author(s):  
Roger St. C. Smart ◽  
Brian Hart ◽  
Mark Biesinger ◽  
James Francis ◽  
Tesfaye Negeri
Keyword(s):  
Principal Component Analysis ◽  
Surface Chemistry ◽  
Principal Component ◽  
Component Analysis ◽  
Tof Sims

Principal Component Analysis (PCA) of Surface Contamination by TOF-SIMS

2021 ◽  
Author(s):  
Kei Lin Sek ◽  
Pei Lin Lee ◽  
Khin Yin Pang ◽  
Younan Hua ◽  
Lei Zhu ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Surface Contamination ◽  
Tof Sims

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.

Depth Profiling of Organic Light-Emitting Diodes by ToF-SIMS Coupled with Wavelet–Principal Component Analysis

2019 ◽  
Vol 1 (7) ◽  
pp. 1821-1828 ◽  
Author(s):  
Céline Noël ◽  
Nunzio Tuccitto ◽  
Yan Busby ◽  
Manuel Auer-Berger ◽  
Antonino Licciardello ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Light Emitting Diodes ◽  
Depth Profiling ◽  
Principal Component ◽  
Component Analysis ◽  
Organic Light Emitting Diodes ◽  
Light Emitting ◽  
Tof Sims ◽  
Organic Light
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