A study on the number of principal components and sensitivity of fault detection using PCA

2007 ◽  
Vol 31 (9) ◽  
pp. 1035-1046 ◽  
Author(s):  
Masayuki Tamura ◽  
Shinsuke Tsujita
Keyword(s):  
Fault Detection ◽  
Principal Components ◽  
Number Of Principal Components

scholarly journals Using Model Selection Criteria to Choose the Number of Principal Components

2021 ◽  
Vol 20 (3) ◽  
pp. 450-461
Author(s):  
Stanley L. Sclove
Keyword(s):  
Model Selection ◽  
Principal Components ◽  
Bayesian Information Criterion ◽  
Selection Criteria ◽  
Information Criterion ◽  
Information Criteria ◽  
Akaike's Information Criterion ◽  
Model Selection Criteria ◽  
Adequate Number ◽  
Number Of Principal Components

AbstractThe use of information criteria, especially AIC (Akaike’s information criterion) and BIC (Bayesian information criterion), for choosing an adequate number of principal components is illustrated.

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