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    Bias method for identifying and removing machine contribution to test data
    1.
    发明授权
    Bias method for identifying and removing machine contribution to test data 有权
    用于识别和去除机器对测试数据的贡献的偏差方法

    公开(公告)号：US06584836B1

    公开(公告)日：2003-07-01

    申请号：US10016312

    申请日：2001-12-10

    申请人： Gregory David Shteinhauz ,  Gregory Scott Johanning

    发明人： Gregory David Shteinhauz ,  Gregory Scott Johanning

    IPC分类号： G01N2556

    CPC分类号： G01M17/02

    摘要： A method for predicting product performance uses sample data from a manufactured product under at least first and second different conditions, to establish transfer functions and a bias term simultaneously, which are then used to predict second condition properties for product when first condition properties are measured. In an illustrated embodiment, a method for predicting tire uniformity, preferably a harmonic component of force variation, preferably when operating at a high speed, is based on a tire's tested uniformity. A production tire's predicted tire uniformity is determined by a calculation using transfer functions applied to production tire measurement data obtained from factory floor testing equipment, which includes a factory floor balance checker and a factory tire uniformity machine, where the data are modified by a bias term that minimizes the machines contribution to the data. The transfer functions are determined by calculations involving a combination of measurements on a tire sample, which preferably comprises one or more tires of the same construction as the production tire for which predictions are desired. The combination of measurements, in the illustrated embodiment, includes measurements on a factory floor balance checker, on a factory floor tire uniformity machine, and on a test lab tire uniformity machine. The test lab tire uniformity machine is preferably operated at a speed higher than the factory floor tire uniformity machine, and most preferably at a speed approximately equal to the speed at which the predicted uniformity is desired.

    摘要翻译： 用于预测产品性能的方法使用来自制造产品的样品数据至少在第一和第二不同条件下，以同时建立传递函数和偏差项，然后在第一条件性质被测量时将其用于预测产品的第二条件性质。 在图示的实施例中，优选地以轮胎的测试均匀性为基础，用于预测轮胎均匀性，优选地是力变化的谐波分量优选地以高速操作的方法。 生产轮胎的预测轮胎均匀性通过使用应用于从工厂车间测试设备获得的生产轮胎测量数据的传递函数的计算来确定，该设备包括工厂车间平衡检查器和工厂轮胎均匀性机器，其中数据由偏差项 这最小化了机器对数据的贡献。 传递函数是通过涉及轮胎样品上的测量结合的计算来确定的，该轮胎样品优选地包括一个或多个与要求预测的生产轮胎相同结构的轮胎。 在所示实施例中，测量的组合包括在工厂车间平衡检查器，工厂车间轮胎均匀性机器和测试实验室轮胎均匀性机器上的测量。 测试实验室轮胎均匀机优选以比工厂地板轮胎均匀性机器高的速度操作，并且最优选地以大约等于期望的预测均匀度的速度的速度操作。