Title :
Notice of Retraction
Failure distribution model of NC machine tool´s MTTF based on maximum likelihood method
Author :
Ma Xiaobo ; Liu Kuo ; Wang Jiaxing ; Yu Wendong ; Tan Zhi ; Yu Fulai
Author_Institution :
State Key Lab. of Adv. Numerical Control Machine Tool, Shenyang Machine Tool(Group) Co., Ltd., Shenyang, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Based on data process and analysis of NC machine tool´s MTTF, probability density function is presented and the obedient distributing type is analyzed. On the base of it, parameter estimation and fit check is done by lognormal distribution, weibull distribution and rayleigh distribution respectively based on maximum likelihood method. Finally, probability density function, distribution function and MTTF´s point estimating value of different distribution model are compared. The simulation results shows that rayleigh distribution model can describe data´s distribution more accurately than weibull distribution model.
Keywords :
Rayleigh-Ritz methods; Weibull distribution; failure analysis; machine tools; maximum likelihood estimation; numerical control; parameter estimation; production engineering computing; MTTF; NC machine tool; data analysis; data process; failure distribution model; lognormal distribution; maximum likelihood method; obedient distributing type; parameter estimation; probability density function; rayleigh distribution; weibull distribution; Computer numerical control; Fitting; Machining; Mathematical model; Maximum likelihood estimation; Reliability; Weibull distribution; Failure Distribution Model; MTTF; Maximum Likelihood Method;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Dengleng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6011032
