End-to-End Control Chart Pattern Classification Using a 1D Convolutional Neural Network and Transfer Learning

End-to-End Control Chart Pattern Classification Using a 1D Convolutional Neural Network and Transfer Learning

Control charts are an important tool in statistical process control (SPC). They have been commonly used for monitoring process variation in many industries. Recognition of non-random patterns is an important task in SPC. The presence of non-random patterns implies that a process is affected by certa...

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Bibliographic Details
Main Authors: Chuen-Sheng Cheng, Ying Ho, Tzu-Cheng Chiu
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Processes
Subjects:
non-random pattern
SPC
1D convolutional neural network
data augmentation
transfer learning
Online Access:https://www.mdpi.com/2227-9717/9/9/1484

Internet

https://www.mdpi.com/2227-9717/9/9/1484

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