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A Knowledge-Informed Simplex Search Method Based on Historical Quasi-Gradient Estimations and Its Application on Quality Control of Medium Voltage Insulators
Processes ( IF 3.5 ) Pub Date : 2021-04-28 , DOI: 10.3390/pr9050770
Xiangsong Kong , Dongbin Zheng

Quality control is of great significance for the economical manufacturing and reliable application of medium voltage insulators. With the increasingly stringent quality control requirement, traditional quality control methods in this field face a growing challenge on their efficiency. Therefore, this study aims to achieve quality specifications by optimizing process conditions with the least costs. Thus, a knowledge-informed simplex search method was proposed based on an idea of knowledge-informed optimization to enhance the optimization efficiency. Firstly, a new mathematical quantity, quasi-gradient estimation, was generated following a reconstruction of the simplex search from the essence and the development history of the method. Based on this quantity, the gradient-free method possessed the same gradient property and unified form as the gradient-based methods. Secondly, an implementation of the knowledge-informed simplex search method based on historical quasi-gradient estimations (short for GK-SS) was constructed. The GK-SS-based quality control method utilized the historical quasi-gradient estimations for each simplex generated during the optimization process to improve the method’s search directions’ accuracy in a statistical sense. Finally, this method was applied to the weight control of a kind of post insulator. The experimental simulation results showed that the method is effective and efficient in the quality control of medium voltage insulators.

中文翻译:

基于历史准梯度估计的知识型单纯形搜索方法及其在中压绝缘子质量控制中的应用

质量控制对于中压绝缘子的经济制造和可靠应用具有重要意义。随着日益严格的质量控制要求,该领域的传统质量控制方法在效率上面临着越来越大的挑战。因此,本研究旨在通过以最低的成本优化工艺条件来达到质量规格。因此,基于知识优化的思想,提出了一种知识知的单纯形搜索方法,以提高优化效率。首先,从方法的本质和发展历史重建了单纯形搜索之后,产生了一个新的数学量,即准梯度估计。根据这个数量,无梯度方法与基于梯度的方法具有相同的梯度性质和统一的形式。其次,构造了一种基于历史准梯度估计(GK-SS的缩写)的知识型单纯形搜索方法的实现。基于GK-SS的质量控制方法利用了在优化过程中生成的每个单纯形的历史准梯度估计,以在统计意义上提高该方法的搜索方向的准确性。最后,将该方法应用于一种后绝缘子的重量控制。实验仿真结果表明,该方法在中压绝缘子质量控制中是有效的。构造了一种基于历史准梯度估计(GK-SS的缩写)的知情单纯形搜索方法的实现。基于GK-SS的质量控制方法利用了在优化过程中生成的每个单纯形的历史准梯度估计,以在统计意义上提高该方法的搜索方向的准确性。最后,将该方法应用于一种后绝缘子的重量控制。实验仿真结果表明,该方法在中压绝缘子质量控制中是有效的。构造了一种基于历史准梯度估计(GK-SS的缩写)的知情单纯形搜索方法的实现。基于GK-SS的质量控制方法利用了在优化过程中生成的每个单纯形的历史准梯度估计,以在统计意义上提高该方法的搜索方向的准确性。最后,将该方法应用于一种后绝缘子的重量控制。实验仿真结果表明,该方法在中压绝缘子质量控制中是有效的。最后,将该方法应用于一种后绝缘子的重量控制。实验仿真结果表明,该方法在中压绝缘子质量控制中是有效的。最后,将该方法应用于一种后绝缘子的重量控制。实验仿真结果表明,该方法在中压绝缘子质量控制中是有效的。
更新日期:2021-04-29
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