The Research on Algorithm in Judging the Trend of the Motion of Press-fit Curve

被引：0
|
作者：
Tan, Cong [1 ]
Ding, Guo-qing [1 ]
Chen, Xin [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Dept Instrument Sci & Engn, Shanghai 200240, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTER SCIENCE (AICS 2016) | 2016年
关键词：
Press-fit curve; Frame function; Polynomial fitting; Least square method;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper designed a way to judge the motion trend of the press-fit curve. The algorithm fits the curve with the data from the "entering the frame" region and the "leaving the frame" region. We use the fitting result, two lines, to judge whether the trend of the motion is normal or not. Finally, we test the algorithm in the laboratory with limited data. We find the algorithm is useful and it can be applied in the industrial production.
引用
收藏
页码：188 / 192
页数：5
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