FUZZY ECCENTRICITY AND GROSS ERROR IDENTIFICATION

作     者：YE Bing FEI Yetai LIAO Benqiang 

作者机构：School of ScienceHefei University of Technology Hefei 230009 China School of InstrumentationHefei University of Technology Hefei 230009 China 

出 版 物：《Chinese Journal of Mechanical Engineering》 (中国机械工程学报（英文版）)

年 卷 期：2006年第19卷第1期

页      面：143-145页

核心收录：

学科分类：07[理学] 070104[理学-应用数学] 0701[理学-数学] 

基　　金：This project is supported by National Natural Science Foundation of China (No.59575081 No.59735120) 

主　　题：Fuzzy clustering Gross error model Fuzzy eccentricity Repetitive precision improvement 

摘      要：The dominant and recessive effect made by exceptional interferer is analyzed in measurement system based on responsive character, and the gross error model of fuzzy clustering based on fuzzy relation and fuzzy equipollance relation is built. The concept and calculate formula of fuzzy eccentricity are defined to deduce the evaluation rule and function ofgruss error, on the base of them, a fuzzy clustering method of separating and discriminating the gross error is found, utilized in the dynamic circular division measurement system, the method can identify and eliminate gross error in measured data, and reduce measured data dispersity. Experimental results indicate that the use of the method and model enables repetitive precision of the system to improve 80% higher than the foregoing system, to reach 3.5 s, and angle measurement error is less than 7 s.