A review on input features for control chart patterns recognition

• Main Authors: Alwan, W., Hassan, A., Ngadiman, N. H. A.
• Format: Conference or Workshop Item
• Published: 2021
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/id/eprint/95877/
• Institution: Universiti Teknologi Malaysia

Control chart pattern recognition (CCPR) is an essential tool for monitoring and diagnosing manufacturing process variability. It is used for recognizing manufacturing processes’ abnormality. The specific type of patterns can be predicted with improved classification accuracy and less computational...