2013 Fiscal Year Final Research Report
Detection of Change Points of Trends in Advanced Manufacturing Processes
| Project/Area Number |
24710174
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Tokyo University of Science |
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Principal Investigator |
YASUI Seiichi 東京理科大学, 理工学部, 助教 (90434026)
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| Project Period (FY) |
2012-04-01 – 2014-03-31
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| Keywords | 統計的プロセス管理 / 変化点検出 / 局所平滑化 / ロバスト回帰 / Lasso / パターン認識 / 多品種生産 / 品質管理 |
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| Research Abstract |
In quality control for manufacturing processes, quality characteristics are monitored in order to control and improve the process. In recent processes, multivarious stuffs are produced on the line. If changing kinds of products, the quality characteristics are disordered. Hence, it is necessary to improve and stabilize the process as soon as possible after changing kings of products. Thus, the detection for change points of various patterns are important techniques to do that. In this research, the statistical methods have been developed for detecting such change points in this situation.
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