DocumentCode :
3164924
Title :
Risk assessment model of automobile defect based on Weibull
Author :
Huang, Guozhong ; Cui, Xianglan ; Chen, Aiji ; Sun, Siheng
Author_Institution :
Sch. of Civil & Environ. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear :
2011
fDate :
8-10 Aug. 2011
Firstpage :
4288
Lastpage :
4291
Abstract :
This paper analyzed the automobile defects and its risk characteristics; the event tree analysis (ETA) method was introduced to determine the risk flow route of automobile defects. According to the scattered of automobile, a risk forecast method based on the Weibull distribution is established. Based on the thousand vehicle breakdown number for risk probability forecast, propose a risk assessment model of automobile defect. The results indicate that on gathering actual failure data from after-sales service, the Weibull distribution model has a favorable applicability for forecasting risk possibility.
Keywords :
Weibull distribution; automobile manufacture; fault trees; forecasting theory; risk analysis; ETA method; Weibull distribution; automobile defects; event tree analysis method; failure; risk assessment model; risk flow route determination; risk forecast method; risk probability forecast; vehicle breakdown; Automobiles; Mathematical model; Predictive models; Reliability; Risk management; Weibull distribution; Weibull distribution; automobile; defect; risk assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
Type :
conf
DOI :
10.1109/AIMSEC.2011.6010141
Filename :
6010141
Link To Document :
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