Performance of gear transmissions affects the performance of mechanical equipment. It is necessary to develop more reliable gear pitch and tooth thickness accuracy detection methods in order to evaluate gear transmission performance and detect gear pitch and tooth thickness accuracy more accurately. Based on the basic theory of gears, binocular vision technology, and statistical principles, a new method that measures gear pitch and tooth thickness using machine vision is proposed: coaxial multi-ring detection (MCD). There is no contact, no damage, and a high degree of efficiency with this method. Using this method, we are able to detect the pitch and thickness accuracy of each gear tooth multiple times within the tooth width range and in multiple directions perpendicular to the gear axis. We statistically analyze the measurement results to determine the gear’s most accurate detection results. The measurement method for gear machining accuracy is investigated using the coaxial multi-ring detection method. The statistical analysis of multiple measurement results is carried out, and the measurement results obtained are highly consistent with those of the gear detection center. In conclusion, the measurement results of this method are highly reliable, and they can be used as a reliable basis for evaluating gear transmission performance.

中文翻译：

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一种测量圆柱齿轮节距和厚度精度的同轴多环检测方法

齿轮传动装置的性能影响着机械设备的性能。为了评价齿轮传动性能、更准确地检测齿轮的节距和齿厚精度，有必要开发更可靠的齿轮节距和齿厚精度检测方法。基于齿轮基础理论、双目视觉技术和统计原理，提出了一种利用机器视觉测量齿轮节距和齿厚的新方法：同轴多环检测（MCD）。该方法无接触、无损伤、效率高。利用该方法，我们能够在齿宽范围内、垂直于齿轮轴线的多个方向上多次检测每个齿轮齿的节距和厚度精度。我们对测量结果进行统计分析，以确定齿轮最准确的检测结果。研究了同轴多环检测法齿轮加工精度的测量方法。对多次测量结果进行统计分析，得到的测量结果与齿轮检测中心的测量结果高度一致。综上所述，该方法的测量结果可靠性较高，可以作为评价齿轮传动性能的可靠依据。