发明申请
US20080208385A1 Semiconductor Manufacturing Apparatus, Method of Detecting Abnormality, Identifying Cause of Abnormality, or Predicting Abnormality in the Semiconductor Manufacturing Apparatus, and Storage Medium Storing Computer Program for Performing the Method
有权
半导体制造装置,检测异常的方法,识别异常原因或预测半导体制造装置中的异常,以及存储介质存储执行方法的计算机程序
- 专利标题: Semiconductor Manufacturing Apparatus, Method of Detecting Abnormality, Identifying Cause of Abnormality, or Predicting Abnormality in the Semiconductor Manufacturing Apparatus, and Storage Medium Storing Computer Program for Performing the Method
- 专利标题(中): 半导体制造装置,检测异常的方法,识别异常原因或预测半导体制造装置中的异常,以及存储介质存储执行方法的计算机程序
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申请号: US11794374申请日: 2005-12-22
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公开(公告)号: US20080208385A1公开(公告)日: 2008-08-28
- 发明人: Koichi Sakamoto , Minoru Obata , Noriaki Koyama
- 申请人: Koichi Sakamoto , Minoru Obata , Noriaki Koyama
- 优先权: JP2004-381364 20041228; JP2005-031111 20050207; JP2005-038413 20050215; JP2005-039869 20050216
- 国际申请: PCT/JP05/23617 WO 20051222
- 主分类号: G06F19/00
- IPC分类号: G06F19/00 ; H01L21/3065 ; H01L21/02
摘要:
In order to detect an abnormality of semiconductor manufacturing apparatus, a biaxial coordinate system having first and second axes respectively assigned two different monitoring parameters selected from plural apparatus status parameters representing statuses of semiconductor manufacturing apparatus is prepared. As monitoring parameters, for example, a cumulative film thickness for deposition processes that have previously been performed in deposition apparatus and an opening of the pressure control valve located in a vacuum exhaust path to control the internal pressure of a reaction vessel are selected. Values of monitoring parameters obtained when the semiconductor manufacturing apparatus was normally operating are plotted on the biaxial coordinate system. A boundary between a normal condition and an abnormality status is set around a plot group. Values of monitoring parameters obtained during present operation of the semiconductor manufacturing apparatus are plotted on the biaxial coordinate system to determine whether or not there exists an abnormality and identify a type of abnormality based on a positional relation between the plots and the boundary.
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