Integration of multivariate control charts and the decision tree classifier to determine the faults of the quality characteristic(s) of a melt spinning machine used in polypropylene fiber manufacturing. Part II: The application of multivariate control charts and the decision tree classifier to determine the faults of quality characteristic(s):

Chung-Feng Jeffrey Kuo,Chang-Chiun Huang,Cheng-Han Yang,Sung-Hua Chen

Integration of multivariate control charts and the decision tree classifier to determine the faults of the quality characteristic(s) of a melt spinning machine used in polypropylene fiber manufacturing. Part II: The application of multivariate control charts and the decision tree classifier to determine the faults of quality characteristic(s):

2021

Chung-Feng Jeffrey Kuo
Chang-Chiun Huang
Cheng-Han Yang
Sung-Hua Chen

In this study, a multivariate statistical process control was used to analyze the abnormal samples derived from the deviation of optimum processing parameters. The experimental samples derived from...

Keywords:

Principal component analysis
multivariate control charts
Decision tree
Melt spinning
polypropylene fiber
quality
Decision tree learning
Data mining
Computer science
Taguchi methods

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