Comparison of Redescending and Monotone M Estimator For Surface Roughness Estimation Using Machine Vision

被引：0

作者：

Chauhan, Jayesh D. ^{[1
]}

Modi, Chintan K. ^{[1
]}

Pithadiya, Kunal J. ^{[1
]}

机构：

[1] GH Patel Coll Engn & Technol, Elect & Commun Engn Dept, Vv Nagar 388120, Gujarat, India

来源：

2009 SECOND INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING AND TECHNOLOGY (ICETET 2009) | 2009年

关键词：

multiple linear regression analysis; average surface roughness estimation; Grey level average; redescending and monotone robust M estimation; CLASSIFICATION; SYSTEM;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A machine vision system is used to estimate surface roughness of machined surface after grinding, milling and shaping. The estimated roughness is compared with stylus measurements. The estimation is usually done by linear regression which suffers from outliers and hence the estimation is not robust. In this paper we compare redescending and monotone type of robust M estimation for estimation of surface roughness. The results show very good error reduction compared to the methods based on linear regression for redescending type of M estimator.

引用

页码：586 / 591

页数：6

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