Accuracy Increasing of Automated Control with Multiple Measurements

E. Podchasov, N. Bubnova, M. Limorenko
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引用次数: 4

Abstract

Precision requirement increment for machine parts is one of the results of modern mechanical engineering development. It causes intermediate control and Acceptance test complication to allow crap rate decrement. However, Precision requirement increment may cause sufficient control technology complication and rise requirement for control devices. This problem may be solved by means of multiple measurements with optimization of its number. Traditional Student coefficient method usage causes uncertainty. Consecutive analysis with non-dimensional criteria of process stability is suggested to solve the problem. This method allows choosing minimal necessary number of measurement depending on the technological process characteristic. Because of easy mathematical realization such an algorithm may be used for measurement automation and its usage allows to optimize measurement numbers and to lower manufacturing time for machine parts.
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多测量自动控制精度的提高
机械零件精度要求的提高是现代机械工程发展的结果之一。它导致中间控制和验收测试的复杂性,以允许垃圾率下降。然而,精度要求的增加会导致控制技术的复杂性和对控制装置的要求的提高。该问题可以通过多次测量并优化测量次数的方法来解决。传统的学生系数法存在不确定性。为了解决这一问题,提出了过程稳定性的无量纲连续分析方法。这种方法允许根据工艺过程特性选择最小必要的测量次数。由于易于数学实现,这种算法可用于测量自动化,它的使用允许优化测量次数和降低机器零件的制造时间。
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