Self-related Process Residual Control Chart Based on Neural Network
- https://doi.org/10.2991/kam-15.2015.11How to use a DOI?
- neural network; self-related process; control chart.
The output data of the modern complex product manufacturing process shows the high correlation, leading to the output of the process deviates from the design target or increasing of false alarms when traditional Control Charts monitors the process. A kind of self-related process of residual control chart, which is based on the Neural network, is using Neural network to establish time series prediction model of the self-related process and apply this model to predict the output of the self-related process. Forming residual control chart with the output of the self-related process and the Neural network prediction residual to eliminate correlation of time series of the self-related process and implement statistical quality control of self-related process.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yu Janli AU - Han Yang AU - Miao Manxiang AU - Huang Hongqi PY - 2015/06 DA - 2015/06 TI - Self-related Process Residual Control Chart Based on Neural Network BT - Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling PB - Atlantis Press SP - 41 EP - 43 SN - 1951-6851 UR - https://doi.org/10.2991/kam-15.2015.11 DO - https://doi.org/10.2991/kam-15.2015.11 ID - Janli2015/06 ER -