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    • 1. 发明授权
    • Method and system of compressing raw fabrication data for fault determination
    • 压缩原始制造数据进行故障确定的方法和系统
    • US08510610B2
    • 2013-08-13
    • US13240305
    • 2011-09-22
    • Yij Chieh ChuYun-Zong Tian
    • Yij Chieh ChuYun-Zong Tian
    • G06F11/00
    • G05B23/0254G06F11/0754G06F11/3013G06F11/3082
    • The instant disclosure relates to a raw data compression method for the fabrication process. The method includes the steps of: inputting into a signal converter a collection of raw data points representing operational parameter of a semiconductor equipment within a predetermined time period; obtaining an approximation of the raw data points with a Fourier series; computing the Fourier coefficients and the residuals between the raw data points and the corresponding predicted values predicted by the Fourier series; determining if the residuals exceed an error threshold; recording and storing the Fourier coefficients as the compressed data if none of the residuals exceeds the error threshold; and recording the raw data point as abnormal data point if the corresponding residual exceeds the error threshold before recording and storing the Fourier coefficients and the abnormal data point as the compressed data.
    • 本公开涉及用于制造过程的原始数据压缩方法。 该方法包括以下步骤:在预定时间段内向信号转换器输入表示半导体设备的操作参数的原始数据点的集合; 用傅里叶级数获得原始数据点的近似值; 计算傅里叶系数和原始数据点之间的残差与由傅立叶级数预测的对应预测值; 确定残差是否超过误差阈值; 如果没有残差超过误差阈值,则将傅立叶系数作为压缩数据进行记录和存储; 并且如果在记录和存储傅立叶系数和异常数据点作为压缩数据之前相应的残差超过误差阈值,则将原始数据点记录为异常数据点。
    • 2. 发明申请
    • METHOD OF SEARCHING FOR KEY SEMICONDUCTOR OPERATION WITH RANDOMIZATION FOR WAFER POSITION
    • 搜索用于主要半导体操作的方法用于放置位置的随机化
    • US20110153660A1
    • 2011-06-23
    • US13040633
    • 2011-03-04
    • YIJ CHIEH CHUCHUN CHI CHENYUN-ZONG TIANCHENG-HAO CHEN
    • YIJ CHIEH CHUCHUN CHI CHENYUN-ZONG TIANCHENG-HAO CHEN
    • G06F17/30
    • G05B19/41875G05B2219/32221G05B2219/45031H01L22/20Y02P90/22
    • A method of searching for the key semiconductor operation with randomization for wafer position, comprising: recording the wafer position and the wafer yields of a plurality of wafer ID respectively corresponding to a plurality of semiconductor operations; establishing a matrix model which describes the matrix set for wafer yields of the plurality of wafer ID; analyzing the matrix model, further computing the matrix set for wafer yields of the wafer ID, thereby acquiring the weightings of the randomized wafer positions in such semiconductor operations; and searching for a key semiconductor operation among the plurality of semiconductor operations; herein, by using a local regression model to estimate the wafer position effect, computing the weighting of the position effect in each semiconductor operation based on the estimated position effect and the randomized wafer yield, higher weighting thereof indicates the key semiconductor operation having greater position effect in the aforementioned semiconductor process.
    • 一种用于晶片位置的随机化搜索密钥半导体操作的方法,包括:分别记录分别对应于多个半导体操作的多个晶片ID的晶片位置和晶片产量; 建立描述多个晶片ID的晶片产量的矩阵集合的矩阵模型; 分析矩阵模型,进一步计算晶片ID的晶片产量的矩阵集,从而在这种半导体操作中获得随机晶片位置的权重; 以及在所述多个半导体操作中搜索密钥半导体操作; 在本文中,通过使用局部回归模型来估计晶片位置效应,基于估计的位置效应和随机晶片产量计算每个半导体操作中的位置效应的加权,其较高的加权指示具有较大位置效应的关键半导体操作 在上述半导体工艺中。
    • 4. 发明申请
    • METHOD FOR DETECTING VARIANCE IN SEMICONDUCTOR PROCESSES
    • 用于检测半导体工艺中的变化的方法
    • US20110257932A1
    • 2011-10-20
    • US13170229
    • 2011-06-28
    • YIJ CHIEH CHUCHUN CHI CHENYUN-ZONG TIAN
    • YIJ CHIEH CHUCHUN CHI CHENYUN-ZONG TIAN
    • G06F19/00
    • G05B23/0221G05B2219/37224
    • A method of detecting variance by regression model has the following steps. Step 1 is preparing the FDC data and WAT data for analysis. Step 2 is figuring out what latent variable effect of WAT data by Factor Analysis Step 3 is utilizing Principal Component Analysis to reduce the number of FDC variables to a few independent principal components. Step 4 is demonstrating how the tools and FDC data affect WAT data by Analysis of covariance model, and constructing interrelationship among FDC, WAT and tools. The interrelationship can point out which parameter effect WAT significantly. By the method, when WAT abnormal situation happened, it is easier for engineers to trace where the problem is.
    • 通过回归模型检测方差的方法具有以下步骤。 步骤1正在准备FDC数据和WAT数据进行分析。 第2步是通过因子分析步骤3来确定WAT数据的潜在变量效应是否利用主成分分析将FDC变量的数量减少到少数独立的主成分。 第4步演示了工具和FDC数据如何通过分析协方差模型影响WAT数据,并构建FDC,WAT和工具之间的相互关系。 相互关系可以显着地指出哪个参数效应WAT。 通过这种方法,当WAT异常情况发生时,工程师更容易追踪问题的位置。
    • 7. 发明申请
    • METHOD AND SYSTEM OF COMPRESSING RAW FABRICATION DATA FOR FAULT DETERMINATION
    • 压缩原始制造数据进行故障确定的方法和系统
    • US20120331357A1
    • 2012-12-27
    • US13240305
    • 2011-09-22
    • YIJ CHIEH CHUYUN-ZONG TIAN
    • YIJ CHIEH CHUYUN-ZONG TIAN
    • G06F11/00
    • G05B23/0254G06F11/0754G06F11/3013G06F11/3082
    • The instant disclosure relates to a raw data compression method for the fabrication process. The method includes the steps of: inputting into a signal converter a collection of raw data points representing operational parameter of a semiconductor equipment within a predetermined time period; obtaining an approximation of the raw data points with a Fourier series; computing the Fourier coefficients and the residuals between the raw data points and the corresponding predicted values predicted by the Fourier series; determining if the residuals exceed an error threshold; recording and storing the Fourier coefficients as the compressed data if none of the residuals exceeds the error threshold; and recording the raw data point as abnormal data point if the corresponding residual exceeds the error threshold before recording and storing the Fourier coefficients and the abnormal data point as the compressed data.
    • 本公开涉及用于制造过程的原始数据压缩方法。 该方法包括以下步骤:在预定时间段内向信号转换器输入表示半导体设备的操作参数的原始数据点的集合; 用傅里叶级数获得原始数据点的近似值; 计算傅里叶系数和原始数据点之间的残差与由傅立叶级数预测的对应预测值; 确定残差是否超过误差阈值; 如果没有残差超过误差阈值,则将傅立叶系数作为压缩数据进行记录和存储; 并且如果在记录和存储傅立叶系数和异常数据点作为压缩数据之前相应的残差超过误差阈值,则将原始数据点记录为异常数据点。
    • 8. 发明申请
    • FAULT DETECTION METHOD OF SEMICONDUCTOR MANUFACTURING PROCESSES AND SYSTEM ARCHITECTURE THEREOF
    • 半导体制造工艺的故障检测方法及其系统架构
    • US20120330591A1
    • 2012-12-27
    • US13240348
    • 2011-09-22
    • YIJ CHIEH CHUYUN-ZONG TIAN
    • YIJ CHIEH CHUYUN-ZONG TIAN
    • G06F19/00
    • G06F19/00G05B19/4184G06T7/001G06T2207/30148H01L22/12H01L22/14H01L22/20Y02P90/14
    • A fault detection method of semiconductor manufacturing processes is disclosed. The method includes the steps of providing a storage device, collecting a fault detection and classification(FDC) parameter by the storage device, setting up a measurement site for measuring an online measurement parameter, collecting a wafer acceptance test(WAT) in correspondence to the FDC parameter, establishing a first relationship equation between the FDC parameter and the online measurement parameter, establishing a second relationship equation of the online measurement parameter and the WAT by using the first relationship equation, establishing a third relationship equation between the FDC parameter and the WAT, establishing a waning region of the manufacturing processes by using the first, second, and third relationship equations, and determining the situation of generating wafer defects according to the warning region. The present invention discloses a system architecture for the method.
    • 公开了一种半导体制造工艺的故障检测方法。 该方法包括以下步骤:提供存储装置,通过存储装置收集故障检测和分类(FDC)参数,设置用于测量在线测量参数的测量位置,收集对应于该测量参数的晶片验收测试(WAT) FDC参数,建立FDC参数和在线测量参数之间的第一关系式,建立第一关系式在线测量参数和WAT的第二关系式,建立FDC参数与WAT之间的第三关系式 通过使用第一,第二和第三关系式建立制造过程的下降区域,并根据警告区域确定产生晶片缺陷的情况。 本发明公开了一种用于该方法的系统架构。
    • 9. 发明授权
    • Method for assessing data worth for analyzing yield rate
    • 评估数据价值分析收益率的方法
    • US08265903B2
    • 2012-09-11
    • US12458302
    • 2009-07-08
    • Yij Chieh ChuChun Chi ChenYun-Zong TianShih Chang KaoCheng-Hao Chen
    • Yij Chieh ChuChun Chi ChenYun-Zong TianShih Chang KaoCheng-Hao Chen
    • G06F17/16
    • G05B23/0221
    • A method for assessing data worth for analyzing yield rate includes: getting measured data with data points that corresponds to control variables of semiconductor manufacturing; transforming the data points into a distance matrix with matrix distances corresponding to differences of the data points under the control variables; expressing sample differences recorded in the distance matrix by two-dimension vectors and calculating similarity degrees of the two-dimension vectors and the distance matrix so as to take loss information as a conversion error value; calculating discriminant ability of the transformed two-dimension data and expressing the discriminant ability by an error rate of discriminant; and taking the conversion error value and the error rate of discriminant as penalty terms and calculating a quality score corresponding to the measured data. Thereby, before analyzing the yield rate of semiconductor manufacturing, analysts can determine whether data includes information affecting the yield rate based on the quality score.
    • 评估价值分析产出率的数据的方法包括:用与半导体制造控制变量对应的数据点获取测量数据; 将数据点转换成距离矩阵,矩阵距离对应于控制变量下数据点的差; 通过二维向量表示记录在距离矩阵中的样本差异,并计算二维向量和距离矩阵的相似度,以便将损失信息作为转换误差值; 计算变换后的二维数据的判别能力,并用判别式的误差率表示判别能力; 并将判别式的转换误差值和误差率作为惩罚项,并计算与测量数据相对应的质量得分。 因此,在分析半导体制造的成品率之前,分析人员可以根据质量得分确定数据是否包括影响产量率的信息。