Specifications

feasibility of this technology.
Number of references: 8
Main heading: Roads and streets
Controlled terms: Street traffic control
Uncontrolled terms: Dynamic navigations - Dynamic optimization - Optimal
paths - Real-time traffic conditions - Real-time traffic information - State space
searching - Urban road - Utilization efficiency
Classification code: 406.2 Roads and Streets
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
3.
Accession number: 20132716471648
Title: Study on optimization of thermal key points for machine tools based on Fisher
optimal segmentation method
Authors: Gao, Feng1, 2 ; Liu, Jiang1 ; Yang, Xingang1 ; Li, Yan1 ; Yang, Yan1/高峰;刘江;杨新
刚;李艳;杨艳
Author affiliation:
1 School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology,
Xi'an 710048, China
2 School of Mechanical Engineering, Shaanxi University of Technology, Hanzhong 723003,
China
Corresponding author: Gao, F. ([e-mail])
Source title: Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument
Abbreviated source title: Yi Qi Yi Biao Xue Bao
Volume: 34
Issue: 5
Issue date: May 2013
Publication year: 2013
Pages: 1070-1075
Language: Chinese
ISSN: 02543087
CODEN: YYXUDY
Document type: Journal article (JA)
Publisher: Science Press, 18,Shuangqing Street,Haidian, Beijing, 100085, China
Abstract: When establishing thermal error model using temperature measuring points, the
selection of temperature measuring points has a great influence on the accuracy of thermal error
modeling. A novel optimal segmentation approach-Fisher optimal segmentation method is
presented. The experiment acquired raw data are taken as the analysis data, the diameters of the
classes are calculated, and the error functions of the classes are compared. The measuring point
variables for machine tool are classified; the correlation coefficients between temperature
variables and thermal errors of the classes are calculated; the thermal key points used for
thermal error modeling are obtained; and thereby the optimization of temperature measuring
points is achieved. Finally, the thermal error model is established with multiple linear regression
analysis method from the optimized thermal key points. The established thermal error model