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    • 2. 发明授权
    • Method of detecting deviation in position and misshape of transported
objects
    • 检测运输物体位置偏差和畸形的方法
    • US5365949A
    • 1994-11-22
    • US913364
    • 1992-07-15
    • Toshiaki NishizakaHirokazu TakamoriTuyoshi Hashimoto
    • Toshiaki NishizakaHirokazu TakamoriTuyoshi Hashimoto
    • A24C5/34A24C5/31A24C5/47A24C5/00
    • A24C5/471A24C5/31
    • This invention relates to a method of detecting deviation in position and misshape of transported objects which have a predetermined shape and are successively transported at predetermined intervals with the transported objects being maintained in a predetermined direction, comprising the steps of: generating synchronizing signals corresponding to the transportation intervals on a predetermined cycle; detecting passage of end portions of the transported objects at predetermined positions; calculating a time interval between the generation of the synchronizing signals and the passage of the end portions; calculating a mean value and a standard deviation for a prescribed number of the transported objects from time series information; judging a transported object as an object of which position is deviated or shape is deformed when the difference between measured time interval and the mean time interval is larger than a criterion which is calculated based on the standard deviation; replacing the oldest information on the time interval in the time series information with information on time interval of a transported object which is judged that a position thereof is not deviated or a shape thereof is not deformed to renew the time series information; and calculating a mean value and a standard deviation for the renewed time series information so as to be used for the judgment.
    • 本发明涉及一种检测具有预定形状并以预定间隔连续传送的被传送物体的位置偏差和形状偏移的方法,所述方法包括以下步骤:产生对应于 预定周期的运输间隔; 检测被输送物体的端部在预定位置的通过; 计算同步信号的产生和端部的通过之间的时间间隔; 从时间序列信息计算规定数量的运送对象的平均值和标准偏差; 当测量的时间间隔和平均时间间隔之间的差大于基于标准偏差计算的标准时,判断作为位置偏离或形状变形的被传送物体; 将时间序列信息中的时间间隔中的最旧信息替换为判定其位置未偏离的被输送物体的时间间隔或其形状不变形的信息,以更新时间序列信息; 并计算更新的时间序列信息的平均值和标准偏差,以便用于判断。