DocumentCode
2792798
Title
Research on fuzzy random reliability based on wear Prediction model
Author
Zhang, Yunfeng ; Liu, Yang ; Liu, Weidong
Author_Institution
Traffic & Mech. Eng. Sch., Shenyang Jianzhu Univ., Shenyang, China
fYear
2011
fDate
15-17 July 2011
Firstpage
601
Lastpage
604
Abstract
The four main factors that influence the metal wear performance are determined. Wear Prediction model is developed based on partial least-squares regression method including the four parameters. The fuzzy and random characteristic of metal wear is analysed and the method of the prediction of fuzzy random reliability of metal wear is carried out according to the wear prediction model. The modal is generally used when the materials and working conditions are similar, and the wear reliability can be predicted if the distribution of the influencing factors are given.
Keywords
metals; prediction theory; regression analysis; reliability; wear; fuzzy random reliability; metal wear performance; partial least-squares regression method; wear prediction model; Gaussian distribution; Mathematical model; Metals; Predictive models; Reliability theory; Solid modeling; Fuzzy Random Reliability; Wear prediction; partial least-squares regression;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location
Hohhot
Print_ISBN
978-1-4244-9436-1
Type
conf
DOI
10.1109/MACE.2011.5986996
Filename
5986996
Link To Document