The main goal of the study was to determine the sensitivity of optical measuring system for the determination of optimal reversible two-speed planetary gear train for machine tool gearboxes. The sensitivity could be determined by different experimental approaches but in this article adaptive neurofuzzy inference system (ANFIS) was used. This approach is useful to avoid complicated physical interactions during the process. In other words, ANFIS approach only needs input/output data samples in order to determine sensitivity values of the optimal measuring systems. In order to determine the model of multi-criteria optimization variables, objective functions and conditions should be determined. The subject of the paper is two-carrier, two-speed planetary gears with brakes on coupled shafts. Apart from the determination of the set of the Pareto optimal solutions, the method for choosing an optimal solution from this set is also included in the mathematical model. The procedure is illustrated by numerical example in which the optimal two-speed planetary gear train is selected, defined by design parameters. For the comparison purpose, coordinate measuring machine (CMM) was used also. Results showed that the CMM has the highest sensitivity during the process. The optical noncontact sensors were more resistant during machining process than CMM.

中文翻译：

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光学测量系统对确定机床齿轮箱最佳可逆两速行星齿轮系的灵敏度

该研究的主要目的是确定光学测量系统的灵敏度，以确定用于机床变速箱的最佳可逆两速行星齿轮系。灵敏度可以通过不同的实验方法确定，但是在本文中，使用了自适应神经模糊推理系统（ANFIS）。这种方法对于避免过程中复杂的物理交互很有用。换句话说，ANFIS方法仅需要输入/输出数据样本即可确定最佳测量系统的灵敏度值。为了确定多标准优化变量的模型，应确定目标函数和条件。本文的主题是带有联轴器上的制动器的两齿轮架，两速行星齿轮。除了确定帕累托最优解的集合之外，从该集合中选择最优解的方法也包括在数学模型中。通过数值示例说明了该过程，其中通过设计参数选择了最佳的两速行星齿轮系。为了进行比较，还使用了坐标测量机（CMM）。结果表明，三坐标测量机在此过程中具有最高的灵敏度。光学非接触式传感器在加工过程中比三坐标测量机更具抵抗力。还使用了坐标测量机（CMM）。结果表明，三坐标测量机在此过程中具有最高的灵敏度。光学非接触式传感器在加工过程中比三坐标测量机更具抵抗力。还使用了坐标测量机（CMM）。结果表明，三坐标测量机在此过程中具有最高的灵敏度。光学非接触式传感器在加工过程中比三坐标测量机更具抵抗力。