A scheme for balanced monitoring and accurate diagnosis of bivariate process mean shifts
Monitoring and diagnosis of mean shifts in manufacturing processes become more challenging when involving two or more correlated variables. Unfortunately, most of the existing multivariate statistical process control schemes are only effective in rapid detection but suffer high false alarm. Th...
محفوظ في:
المؤلف الرئيسي: | Masood, Ibrahim |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2012
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.uthm.edu.my/2539/1/24p%20IBRAHIM%20MASOOD.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Synergistic artificial neural network scheme for monitoring and diagnosis of multivariate process variation in mean shifts
بواسطة: Marian, Mohd Fairuz
منشور في: (2014) -
Study of artificial neural network scheme application in manufacturing industry for monitoring-diagnosis bivariate process variation
بواسطة: Majid, Mariam
منشور في: (2014) -
A scheme for balanced monitoring and accurate diagnosis of bivariate process mean shifts
بواسطة: Masood, Ibrahim
منشور في: (2012) -
SPC charting procedure for monitoring of small and large shifts in process mean
بواسطة: Masood, Ibrahim
منشور في: (2004) -
Optimisation of the squeeze forming process
بواسطة: Ahmad, Rosli
منشور في: (2006)