Title :
Study on modeling method of statistical distribution of wearing lifetime for mechanical parts
Author :
Liu, Xiangkai ; Zhang, Jian ; Xing, Wenhua ; Yang, Wancheng
Author_Institution :
Dept. of Automobile Eng., Acad. of Mil. Transp., Tianjin, China
Abstract :
Current modeling methods are almost set up on the basis of wearing loss distribution, and they are more suitable for that wearing loss data is systematic and complete, such as the original data is from friction and wearing test under strict controlled conditions. A new method has been presented which is based on mean wearing rate (MWR) distribution. The basic modeling processes are: (1) Set up the distribution function of MWR. (2)Get lots of lifetime samples through Monte Carlo digital simulation of lifetime. (3)Identify the lifetime distribution by Kolmogorov hypothesis testing. (4)Estimate lifetime characteristics. It can be applied to both complete and incomplete data efficiently.
Keywords :
Monte Carlo methods; friction; mechanical products; statistical distributions; wear; Kolmogorov hypothesis testing; Monte Carlo digital simulation; friction; lifetime characteristics estimation; lifetime distribution; mean wearing rate distribution; mechanical parts; modeling method; statistical distribution; wearing lifetime; wearing loss data; wearing loss distribution; wearing test; Automotive engineering; Friction; Life testing; Lubrication; Predictive models; Rough surfaces; Statistical distributions; Statistics; Surface roughness; Tribology; Monte Carlo simulation; Wearing; hypothesis testing; lifetime; reliability;
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3671-2
Electronic_ISBN :
978-1-4244-3672-9
DOI :
10.1109/ICIEEM.2009.5344420
