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- W2353765790 abstract "Control chart patterns(CCPs) are widely used to identify the potential process problems in modern manufacturing industries.Recently,mass customization relate to the small sample of statistical process control.This paper discussed former recognition methods and presented an approach of small sample CCPs intelligent recognition based on support vector machine(SVM).The 12 time domain features were Statistics and SVM was used as classifier to recognize six types of CCPs.The proposed method has the advantages at robust recognition rate and hign recognition speed under small sample.It may be applied in on-line process quality diagnosis and pre-control in customized manufacturing." @default.
- W2353765790 created "2016-06-24" @default.
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- W2353765790 date "2009-01-01" @default.
- W2353765790 modified "2023-09-25" @default.
- W2353765790 title "The Research on Control Chart Pattern Recognition Based on SVM" @default.
- W2353765790 hasPublicationYear "2009" @default.
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