Dynamic ISD scheme for the AVM system - A preliminary study

Yao Sheng Hsieh, Fan Tien Cheng, Chun Fang Chen, Jhao Rong Lyu, Ting Yu Lin

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)

摘要

Reducing the sampling rate to as low as possible is a high priority for many factories to reduce production cost. Automatic-Virtual-Metrology (AVM) based Original Intelligent Sampling Decision (Original ISD) scheme had been previously developed for reducing the sampling rate and sustaining the VM accuracy. However, the desired sampling rate of the Original ISD scheme is fixed and set manually. Hence, whenever the VM accuracy gets worse, it cannot dynamically increase the desired sampling rate in the Original ISD scheme. As a consequence, it would take more time to collect enough samples for improving the VM accuracy. Moreover, when the VM accuracy performs well all the time, it cannot automatically decrease the desired sampling rate in Original ISD, which may result in unnecessary waste. Accordingly, this paper proposes a preliminary study of a Dynamic ISD scheme to dynamically and automatically modify the sampling rate online and in real time. The Dynamic ISD scheme can monitor the VM accuracy on line as well as update the VM models in real time for maintaining the VM accuracy when the VM accuracy becomes poor. Also, the Dynamic ISD scheme can automatically reduce the sampling rate while the VM accuracy performs well.

原文English
主出版物標題2015 IEEE International Conference on Robotics and Automation, ICRA 2015
發行者Institute of Electrical and Electronics Engineers Inc.
頁面2060-2065
頁數6
版本June
ISBN(電子)9781479969234
DOIs
出版狀態Published - 2015 6月 29
事件2015 IEEE International Conference on Robotics and Automation, ICRA 2015 - Seattle, United States
持續時間: 2015 5月 262015 5月 30

出版系列

名字Proceedings - IEEE International Conference on Robotics and Automation
號碼June
2015-June
ISSN(列印)1050-4729

Other

Other2015 IEEE International Conference on Robotics and Automation, ICRA 2015
國家/地區United States
城市Seattle
期間15-05-2615-05-30

All Science Journal Classification (ASJC) codes

  • 軟體
  • 控制與系統工程
  • 人工智慧
  • 電氣與電子工程

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