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Research on extraction method of roughness parameters of relay circular contacts
IEEJ Transactions on Electrical and Electronic Engineering ( IF 1.0 ) Pub Date : 2020-05-04 , DOI: 10.1002/tee.23143
Wenhua Li 1, 2 , Wenjiang Lu 1 , Shuang Li 3 , Yueshan Zhao 1 , Qizhe Li 1
Affiliation  

Currently, the calculation of the surface roughness parameter is mainly based on the surface height data of the rectangular region, which results in the nonrectangular relay contact surface topography acquisition being limited to a certain local area, and it is difficult to characterize the overall topography state of contacts. In this paper, a method of fitting the rotation roughness parameter is proposed, which is to fit the roughness parameter of the largest inscribed square of contact surface under different rotation angles, and finally, a comprehensive roughness parameter value characterizing the whole circular contact surface is obtained. The Tamura feature analysis method is used to calculate the rotation roughness parameters of the circular contact at various angles. The effective area for calculating the surface roughness of circular contacts is increased from 63.66 to 99.14%. By calculating the moving Hurst index, the rotation roughness parameters of each angle are proven to conform to the fractional Brownian motion, and the rotation roughness parameters are fitted accordingly. Finally, the validity of the fitting parameters is verified by a neural network, which provides a feasible method for comprehensively characterizing the overall topography of circular contact. © 2020 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

中文翻译:

继电器圆形触点粗糙度参数的提取方法研究

当前,表面粗糙度参数的计算主要是基于矩形区域的表面高度数据,这导致非矩形继电器接触表面形貌的获取仅限于某个局部区域,并且难以表征整体形貌状态联系人。本文提出了一种拟合旋转粗糙度参数的方法,该方法是在不同旋转角度下拟合最大接触面内接正方形的粗糙度参数,最后得出表征整个圆形接触面的综合粗糙度参数值。获得。田村特征分析法用于计算各种角度的圆形触点的旋转粗糙度参数。计算圆形触点表面粗糙度的有效面积从63.66%增加到99.14%。通过计算运动赫斯特指数,证明每个角度的旋转粗糙度参数都符合布朗运动分数,并相应地拟合了旋转粗糙度参数。最后,通过神经网络验证了拟合参数的有效性,这为全面表征圆形接触的整体形貌提供了一种可行的方法。©2020日本电气工程师学会。由John Wiley&Sons,Inc.发布 神经网络验证了拟合参数的有效性,为全面表征圆形接触的整体形貌提供了一种可行的方法。©2020日本电气工程师学会。由John Wiley&Sons,Inc.发布 神经网络验证了拟合参数的有效性,为全面表征圆形接触的整体形貌提供了一种可行的方法。©2020日本电气工程师学会。由John Wiley&Sons,Inc.发布
更新日期:2020-05-04
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