Robust Locally Weighted Regression for Profile Measurement of Magnesium Alloy Tube in Hot Bending Process
Joint Authors
Yao, Zhibin
Wang, Rongjun
Zhi, Jinning
Shi, Qinglu
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-22
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Section flattening often occurs in the hot bending process of magnesium alloy tube with large curvature.
In order to control the forming quality of the tube, it is necessary to measure the section profile of the magnesium alloy pipe online.
In this paper, the laser vision system is used to measure the profile of magnesium alloy tube.
Due to the influence of the environment and the surface quality of the pipe, there are obviously isolated outliers in the profile data, which seriously affects the accuracy and precision of the tube measurement.
An outlier identification algorithm based on robust locally weighted regression and PaйTa criterion is proposed.
This algorithm is used to identify the typically isolated outliers in the measurement process and discuss its identification ability.
Meanwhile, it is compared with the moving mean identifier and the Hampel identifier.
Subsequently, the ellipse fitting of profile data was carried out, and the fitting ellipse parameters and fitting precision of the curved section were obtained.
At the same time, the fitting results were compared before and after the outliers are eliminated.
The experiment proves that the outlier identification method based on robust locally weighted regression and PaйTa criterion can effectively identify outliers in profile data, especially for spot outliers.
This algorithm is a robust, accurate, and efficient outlier identification method, which can effectively improve the laser profile measurement accuracy of the pipe section and has great significance for the quality control of magnesium alloy tube.
American Psychological Association (APA)
Yao, Zhibin& Wang, Rongjun& Zhi, Jinning& Shi, Qinglu. 2020. Robust Locally Weighted Regression for Profile Measurement of Magnesium Alloy Tube in Hot Bending Process. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1200785
Modern Language Association (MLA)
Yao, Zhibin…[et al.]. Robust Locally Weighted Regression for Profile Measurement of Magnesium Alloy Tube in Hot Bending Process. Mathematical Problems in Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1200785
American Medical Association (AMA)
Yao, Zhibin& Wang, Rongjun& Zhi, Jinning& Shi, Qinglu. Robust Locally Weighted Regression for Profile Measurement of Magnesium Alloy Tube in Hot Bending Process. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1200785
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1200785