Design optimization for the two-stage bivariate pattern recognition scheme
In manufacturing operations, unnatural process variation has become a major contributor to a poor quality product. Therefore, monitoring and diagnosis of variation is critical in quality control. Monitoring refers to the identification of process condition either it is running within in statisticall...
محفوظ في:
المؤلف الرئيسي: | Mokhtar, Mohd Shukri |
---|---|
التنسيق: | أطروحة |
اللغة: | English English English |
منشور في: |
2015
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.uthm.edu.my/1380/2/MOHD%20SHUKRI%20MOKHTAR%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1380/1/24p%20MOHD%20SHUKRI%20MOKHTAR.pdf http://eprints.uthm.edu.my/1380/3/MOHD%20SHUKRI%20MOKHTAR%20WATERMARK.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Identification of shift variation in bivariate process using pattern recognition technique
بواسطة: Mohd Haizan, Mohamad Azrul Azhad
منشور في: (2019) -
Intergration of control chart and pattern recognizer for bivariate quality control
بواسطة: Mohd Sohaimi, Nurul Adlihisam
منشور في: (2015) -
Design optimization of ANN-based pattern recognizer for multivariate quality control
بواسطة: Abdul Jamil, Muhamad Faizal
منشور في: (2013) -
Pattern recognition for manufacturing process variation using integrated statistical process control – artificial neural network
بواسطة: Mohd Ariffin, Ahmad Azrizal
منشور في: (2015) -
GA Based Feature Recognition of Step File for CAD/CAM Integration
بواسطة: Syafnil, Alfais Admiral
منشور في: (2009)