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Reliability-Based Robust Design Optimization With Kernel Density Estimation for Electric Power Steering Motor Considering Manufacturing Uncertainties

机译:考虑制造不确定性的电动转向电机基于可靠性的鲁棒设计优化与核密度估计

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摘要

Reliability-based robust design optimization (RBRDO) is a notable method to secure the quality and feasibility of performances from uncertainties. In this paper, geometric uncertainties of a stator sheet that can occur during a stamping process are considered as the uncertainty of controllable variables. Then, as the uncertainty of uncontrollable variables, skew angle due to inexact lamination is considered. No researches on the effect of this uncertainty have been performed. To analyze the effects of the uncertainties, the kernel density estimation (KDE) was employed to estimate the distribution because of its convenience, flexibility, and robustness. Then, RBRDO with the KDE is performed and the optimum results are compared with real data measured from manufactured motors.
机译:基于可靠性的鲁棒设计优化(RBRDO)是确保性能不受不确定性影响的质量和可行性的一种著名方法。在本文中,在冲压过程中可能出现的定子板的几何不确定性被视为可控制变量的不确定性。然后,作为不可控制变量的不确定性,考虑了由于不精确叠层引起的偏斜角。尚未对此不确定性的影响进行任何研究。为了分析不确定性的影响,由于其便利性,灵活性和鲁棒性,采用核密度估计(KDE)来估计分布。然后,执行带有KDE的RBRDO,并将最佳结果与从制造的电动机测得的真实数据进行比较。

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