Title :
The life assessment of Complex System based on membership function
Author :
Lang, Feng-Yong ; Li, Xiao-Gang
Author_Institution :
Sch. of Reliability & Syst. Eng., BeiHang Univ., Beijing, China
Abstract :
Discussing a method of life assessment of Complex System. Firstly, based on the information fusion theory, considering the influence of unit life on the complex system, we transform life assessment into solving a fuzzy set. Secondly, we transform the membership solving into solving a regression equation, and calculate the parameter of two common distributions with the method of least square. Finally, we can solve the life model of the complex system. The result has been proved by MATLAB simulation.
Keywords :
fuzzy set theory; least squares approximations; regression analysis; remaining life assessment; MATLAB simulation; complex system; fuzzy set; information fusion theory; least square method; life assessment; membership function; regression equation; unit life; Complex System; Information Fusion; LS; Life Assessment; Membership Functions;
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6483-8
DOI :
10.1109/ICIEEM.2010.5646464
