A Wheel Tread Profile Fitting Method Based on Automatically Extracting Subsection Points

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• 英文论文题名：A Wheel Tread Profile Fitting Method Based on Automatically Extracting Subsection Points
• 论文作者：Xiangxiang Zhou ; Lu Wang ; Yong Zhang ; Zongyi Xing
• 英文论文作者：Xiangxiang Zhou ; Lu Wang ; Yong Zhang ; Zongyi Xing ; School of Automation ; Nanjing University of Science and Technology
• 年：2017
• 作者机构：School of Automation,Nanjing University of Science and Technology;
• 英文论文关键词：Wheel profile ; automatic extraction of subsection points ; subsection curve fitting ; Lagrange multiplier method
• 会议召开时间：2017-07-26
• 会议录名称：第36届中国控制会议论文集（B）
• 英文会议录名称：Proceedings of the 36th Chinese Control Conference（B）
• 语种：英文
• 分类号：U279.32
• 学会代码：KZLL
• 会议名称：第36届中国控制会议
• 会议地点：中国辽宁大连
• 主办单位：中国自动化学会控制理论专业委员会
• 学会名称：中国自动化学会控制理论专业委员会
• 页数：5
• 文件大小：205k
• 原文格式：D
• 会议级别：全国

摘要

A curve fitting method based on automatically extracting subsection points is proposed to fit the wheel tread profile accurately. Firstly, the subsection points are determined by segmenting discrete points of wheel tread profile based on given errors and threshold. Secondly, the segmentation interval is determined with the respective segment point as the center, and the least squares curve fitting is performed on the data points of each segment based on the concept of segmentation interval. Thirdly, the least square curve fitting method is adopted to fit all data points in the interval. Finally, all curves are connected to a smooth curve by adopting Lagrange multiplier method. The data were obtained in the field to fit curve by extracting subsection points automatically. The result showed that the wheel tread profile fitted by this method is smooth at subsection points. The mean absolute error is 0.045 mm and the largest offset amplitude is 0.05%. Compared with the manual segmentation method, the automatic segmentation method is more accuracy and effective. The method has been applied into the auto wheel-size detection system and the detected results are more accurate.
A curve fitting method based on automatically extracting subsection points is proposed to fit the wheel tread profile accurately. Firstly, the subsection points are determined by segmenting discrete points of wheel tread profile based on given errors and threshold. Secondly, the segmentation interval is determined with the respective segment point as the center, and the least squares curve fitting is performed on the data points of each segment based on the concept of segmentation interval. Thirdly, the least square curve fitting method is adopted to fit all data points in the interval. Finally, all curves are connected to a smooth curve by adopting Lagrange multiplier method. The data were obtained in the field to fit curve by extracting subsection points automatically. The result showed that the wheel tread profile fitted by this method is smooth at subsection points. The mean absolute error is 0.045 mm and the largest offset amplitude is 0.05%. Compared with the manual segmentation method, the automatic segmentation method is more accuracy and effective. The method has been applied into the auto wheel-size detection system and the detected results are more accurate.

引文

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