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    • 60. 发明申请
    • Method of process trend matching for identification of process variable
    • 流程变量识别过程趋势匹配方法
    • US20080177399A1
    • 2008-07-24
    • US11655024
    • 2007-01-18
    • Kien Hoong FongWei FuJun Shi
    • Kien Hoong FongWei FuJun Shi
    • G05B13/04
    • G05B13/048
    • A method that involves matching the trend of process outcome with the trend of process variables to identify the variables that have an impact on the process outcome is disclosed. The method for process trend matching comprises processing of raw data of process outcome and of process variables using an outlier filtering method, smoothing these data using common smoothing algorithm like Kernel, dividing smoothed raw data equally into time intervals, computing the gradients of the points at both ends of the time intervals, and translating the gradients into a scale based on the magnitude of the gradients. The following steps comprise to compare the process outcome and each process variable independently for same time frame, and assign a score for both outcome and variable. The sum of the scores is then computed which is used to determine the quality of fit. A real-time monitoring system is then set up to monitor these variables for any drifts. When a drift is detected, troubleshooting activity will be triggered and actions taken to resolve the drift, after which monitoring of the variable will be restarted.
    • 公开了一种方法,其将过程结果的趋势与过程变量的趋势相匹配,以识别对过程结果有影响的变量。 过程趋势匹配的方法包括使用异常值滤波方法处理过程结果的原始数据和过程变量,使用常规的平滑算法(如内核)平滑这些数据,将平滑的原始数据平均分为时间间隔,计算点的梯度 时间间隔的两端,并且基于梯度的幅度将梯度转换成刻度。 以下步骤包括在同一时间段内独立地比较过程结果和每个过程变量,并为结果和变量分配一个分数。 然后计算得分的总和,其用于​​确定拟合质量。 然后建立一个实时监控系统来监测任何漂移的这些变量。 当检测到漂移时,将触发故障排除活动,并采取措施来解决漂移,然后重新启动对变量的监视。