会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 2. 发明授权
    • Method for evaluating efficacy of prevention maintenance for a tool
    • 评估工具预防维护功效的方法
    • US08195431B2
    • 2012-06-05
    • US12566974
    • 2009-09-25
    • Yi Feng LeeChun Chi ChenShih Chang KaoYun-Zong TianWei Jun Chen
    • Yi Feng LeeChun Chi ChenShih Chang KaoYun-Zong TianWei Jun Chen
    • G06F15/00G06F19/00
    • G06Q10/00
    • A method for evaluating efficacy of prevention maintenance for a tool includes the steps of: choosing a tool which has been maintained preventively and choosing a productive parameter of the tool; collecting values of the productive parameter generated from the tool during a time range for building a varying curve of the productive parameter versus time, modifying the varying curve with a moving average method; transforming the varying curve into a Cumulative Sum chart; and judging whether the values of the productive parameter generated from the tool after the prevention maintenance are more stable, compared with the values of the productive parameter generated from the tool before the prevention maintenance, according to the Cumulative Sum chart. Thereby, if the varying of the values of the productive parameter after the prevention maintenance isn't stable, then the efficacy of this prevention maintenance for the tool is judged not good.
    • 一种用于评估工具的预防维护功效的方法包括以下步骤:选择已预先维护的工具并选择工具的生产参数; 在用于构建生产参数对时间的变化曲线的时间范围内收集从工具产生的生产参数的值,以移动平均法修改变化曲线; 将变化曲线转换为累计总和图; 并且根据累计总和图来判断在防止维护之后从工具生成的生产参数的值是否比预防维护之前从工具产生的生产参数的值更稳定。 因此,如果防止维护后的生产参数的值的变化不稳定,则对该工具的该防止维护的功效被判断为不好。
    • 3. 发明授权
    • Method for planning a semiconductor manufacturing process based on users' demands using a fuzzy system and a genetic algorithm model
    • 使用模糊系统和遗传算法模型根据用户需求规划半导体制造过程的方法
    • US08170964B2
    • 2012-05-01
    • US12471711
    • 2009-05-26
    • Wei Jun ChenChun Chi ChenYun-Zong TianYi Feng LeeTsung-Wei Lin
    • Wei Jun ChenChun Chi ChenYun-Zong TianYi Feng LeeTsung-Wei Lin
    • G07B15/00
    • G06N3/126G06N7/02
    • A method for planning a semiconductor manufacturing process based on users' demands includes the steps of: establishing a genetic algorithm model and inputting data; establishing a fuzzy system and setting one output parameter representing percent difference of each cost function in neighbor generations; setting to have a modulation parameter corresponding to each input parameter for adjusting fuzzy sets of the output parameter; executing genetic algorithm actions; executing fuzzy inference actions; eliminating chromosomes that produce output parameter smaller than a defined lower limit, and the remaining chromosomes that produces the largest output parameter is defined as the optimum chromosome, wherein the genetic algorithm actions stops being executed upon the optimum chromosome; then determining whether or not a defined number of generations has been reached, if yes, executing the optimum chromosome of the last generation; if no, continuing executing the genetic algorithm actions, thereby finding the optimum semiconductor manufacturing process for users.
    • 一种基于用户需求的半导体制造过程规划方法,包括以下步骤:建立遗传算法模型并输入数据; 建立一个模糊系统,并设置一个输出参数,代表相邻代的每个成本函数的百分比差; 设置为具有对应于每个输入参数的调制参数,用于调整输出参数的模糊集合; 执行遗传算法动作; 执行模糊推理动作; 消除产生小于规定下限的输出参数的染色体,将产生最大输出参数的剩余染色体定义为最佳染色体,其中遗传算法动作停止在最佳染色体上执行; 然后确定是否已经达到定义数量的世代,如果是,则执行最后一代的最佳染色体; 如果否,继续执行遗传算法动作,从而为用户找到最佳的半导体制造过程。
    • 5. 发明申请
    • METHOD FOR PREDICTING AND WARNING OF WAFER ACCEPTANCE TEST VALUE
    • WAFER接受测试值的预测和警告方法
    • US20110112999A1
    • 2011-05-12
    • US12703999
    • 2010-02-11
    • YI-FENG LEESHIH CHANG KAOYUN-ZONG TIANWEI JUN CHEN
    • YI-FENG LEESHIH CHANG KAOYUN-ZONG TIANWEI JUN CHEN
    • G06N3/10G06F15/18
    • H01L22/20
    • A method for predicting and warning of WAT value includes the steps as follows. A key process is selected and a WAT value after finishing the key process is used as a predictive goal. A predicting model is built. One batch or plural batches of predictive wafers are prepared, and a Fault Detection and Classification data (FDC data) and a metrology data from the predictive wafers of the key process are collected. The FDC data and the metrology data collected from the predictive wafers are inputted into the predicting model for processing a normal predicting procedure, and a predictive WAT value by the predicting model is outputted. The present invention can accurately predict the WAT value, effectively monitor some specific defective wafers and continuously perform the improvement for the specific defective wafer.
    • WAT值的预测和预警方法包括以下步骤。 选择关键过程,完成关键过程后的WAT值作为预测目标。 建立了预测模型。 准备一批或多批预测晶片,并且收集来自关键过程的预测晶片的故障检测和分类数据(FDC数据)和度量数据。 从预测晶片收集的FDC数据和计量数据被输入到用于处理正常预测过程的预测模型中,并且输出由预测模型的预测WAT值。 本发明可以准确地预测WAT值,有效地监视一些特定的缺陷晶片,并且连续地对特定缺陷晶片进行改进。
    • 7. 发明申请
    • MACHINE FAULT DETECTION METHOD
    • 机器故障检测方法
    • US20090276182A1
    • 2009-11-05
    • US12140584
    • 2008-06-17
    • YI FENG LEECHUN CHI CHENYUN-ZONG TIAN
    • YI FENG LEECHUN CHI CHENYUN-ZONG TIAN
    • G06F17/18G06F15/00
    • G05B19/41875G05B2219/32196G05B2219/32197G05B2219/45031Y02P90/22
    • A machine fault detection method is applied to a plurality of machines. The machines are used for processing at least one wafer-in-process (WIP). The method includes the flowing steps. A statistical database of the wafer-in-process is provided. An association rules is used to search and survey the statistical database in order to calculate a support degree and a reliability degree. A threshold is selected to determine whether the support degree and the reliability degree have surpassed the threshold or not. When the support degree and the reliability degree have surpassed the threshold, a root cause error in the statistical database corresponded by the support degree and the reliability degree is determined. When the support degree and the reliability degree have not surpassed the threshold, the above steps are repeated.
    • 机器故障检测方法应用于多台机器。 这些机器用于处理至少一个晶片在制品(WIP)。 该方法包括流动步骤。 提供了晶片在制程的统计数据库。 使用关联规则来搜索和调查统计数据库,以计算支持度和可靠度。 选择阈值来确定支持度和可靠度是否超过阈值。 当支持度和可靠度超过阈值时,统计数据库中的根本原因误差由支持度和可靠度决定。 当支撑度和可靠度没有超过阈值时,重复上述步骤。
    • 10. 发明申请
    • METHOD FOR EVALUATING EFFICACY OF PREVENTION MAINTENANCE FOR A TOOL
    • 评估工具预防性维护效率的方法
    • US20110010132A1
    • 2011-01-13
    • US12566974
    • 2009-09-25
    • YI-FENG LEECHUN-CHI CHENSHIH-CHANG KAOYUN-ZONG TIANWEI-JUN CHEN
    • YI-FENG LEECHUN-CHI CHENSHIH-CHANG KAOYUN-ZONG TIANWEI-JUN CHEN
    • G06F15/00
    • G06Q10/00
    • A method for evaluating efficacy of prevention maintenance for a tool includes the steps of: choosing a tool which has been maintained preventively and choosing a productive parameter of the tool; collecting values of the productive parameter generated from the tool during a time range for building a varying curve of the productive parameter versus time, modifying the varying curve with a moving average method; transforming the varying curve into a Cumulative Sum chart; and judging whether the values of the productive parameter generated from the tool after the prevention maintenance are more stable, compared with the values of the productive parameter generated from the tool before the prevention maintenance, according to the Cumulative Sum chart. Thereby, if the varying of the values of the productive parameter after the prevention maintenance isn't stable, then the efficacy of this prevention maintenance for the tool is judged not good.
    • 一种用于评估工具的预防维护功效的方法包括以下步骤:选择已预先维护的工具并选择工具的生产参数; 在用于构建生产参数对时间的变化曲线的时间范围内收集从工具产生的生产参数的值,以移动平均法修改变化曲线; 将变化曲线转换为累计总和图; 并且根据累计总和图来判断在防止维护之后从工具生成的生产参数的值是否比预防维护之前从工具产生的生产参数的值更稳定。 因此,如果防止维护后的生产参数的值的变化不稳定,则对该工具的该防止维护的功效被判断为不好。