DocumentCode :
3437580
Title :
Maintenance time estimation method in the design phase based on fuzzy v-support vector machine
Author :
Xu Luo ; Yongmin Yang ; Zhexue Ge ; Fengjiao Guan
Author_Institution :
Sci. & Technol. on Integrated Logistics Support Lab., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2013
fDate :
15-18 July 2013
Firstpage :
649
Lastpage :
653
Abstract :
This paper presents a new estimation method of maintenance time in the design phase based on fuzzy v-support vector machine (Fv-SVM), considering the problems of finite samples and uncertain data in the maintenance time estimation. The maintenance task of product is first decomposed into many elementary maintenance activities. The influence of design factors on product maintenance time is analyzed, and the important design factors which influence the time of single maintenance operation are determined. Then, the design factors are quantified by triangular fuzzy numbers, and a time estimation method of maintenance operation based on Fv-SVM is proposed. The results of the application in maintenance time estimation confirm the feasibility and the validity of the estimation method.
Keywords :
fuzzy set theory; maintenance engineering; product design; production engineering computing; support vector machines; Fv-SVM; design factors; design phase; elementary maintenance activities; finite samples; fuzzy v-support vector machine; maintenance operation; maintenance time estimation method; product maintenance task; triangular fuzzy numbers; uncertain data; Assembly; Estimation; Kernel; Maintenance engineering; Neural networks; Safety; Support vector machines; fuzzy support vector; maintainability; maintenance time estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-1014-4
Type :
conf
DOI :
10.1109/QR2MSE.2013.6625662
Filename :
6625662
Link To Document :
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