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The Detection of Plasma Endpoint Process Using OES-Wavelet-Modified Univariate Charts

机译:使用OES小波修饰的单变量图检测血浆终点过程

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As the exposed area to the film being etched is very thin (<; 0.5%), showing the incapacity of the traditional endpoint detection method to determine the endpoint in Plasma etch process. A new proposed Algorithm designed in order to pick the optimal level of decomposition (OLD) for wavelet analysis and then a modified wavelet univariate control charts X bar is presented to detect endpoint based on the mean, SD and CV respectively. When the mean and the variance are not stable and the coefficient of variation is steady, its application to details coefficients enhances the ability of detecting endpoint in plasma etch process. The control limits are also Constructed from the main etch interval for mean and from Over etch interval to ameliorate the EPD.
机译:由于被蚀刻膜的暴露区域非常薄(<; 0.5%),显示了传统的终点检测方法无法确定等离子蚀刻工艺中的终点。设计了一种新算法,以选择最佳分解水平(OLD)进行小波分析,然后提出了一种改进的小波单变量控制图X bar来分别基于均值,SD和CV来检测端点。当均值和方差不稳定且变异系数稳定时,将其应用于细节系数可增强等离子体蚀刻过程中检测终点的能力。还从平均刻蚀主刻蚀间隔和从过度刻蚀间隔构造控制极限,以改善EPD。

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