Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal Indonesian Journal of Electrical Engineering and Computer Science
LI Guihua
Anhui University

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Online Measurement on Flatness and its Uncertainty of Small Work-piece LI Guihua; ZHANG Huajun; MA Xiushui
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Flatness is a very important shape and position of plane surface error and has great influence on the operating function of the work-piece. The traditional measurement methods of flatness can not be satisfied with the real-time requirement, and the uncertainty of flatness is not easy to be evaluated either. So a new method is proposed based on Geometrical product specification (GPS) standard-chain. That is: the coordinate value of small work-piece is occurred by portable Coordinate Measure Machine (CMM), the flatness is calculated from these coordinates using least-square arithmetic, and the uncertainty of flatness is estimated by the experimental matrix. The qualified products are separated by the tolerance and the agreement of supply and demand sides, and all the results are shown in an interface in real-time. Random inspection shows that this method can realize to pick the rejects online, increase the measurement efficiency, and decrease the probability of misconstruction. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.2083 
Dynamic Error Analysis of CMM Based on Variance Analysis and Improved PLSR Zhang Mei; Cheng Fang; Li Guihua
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5342-5349

Abstract

It is difficult to build an accurate model to predict the dynamic error of CMM by analyzing error sources. An innovative modeling method based on Variance Analysis and Improved Partial Least-square regression (IPLSR) is proposed to avoid analyzing the interaction of error sources and to overcome the multi-collinearity of Ordinary Least-square regression (OLSR). Among many impact factors the most influential parameters are selected as the independents of the model, by means of variance analysis.The proposed modeling method IPLSR can not only avoid the analysis of the error sources and the interactions, but can also solve the problem of multi-collinearity in OLSR. From experimental data the expository capability of this IPLSR model can be calculated as 85.624 percent, and the mean square error is 0.94μm. As comparison, the mean square values of conventional PLSR and OLSR are 1.04μm and 1.39μm, respectively. So IPLSR has higher predicting precision and better expository capability.
Co-Authors Cheng Fang MA Xiushui ZHANG Huajun Zhang Mei