Failure Rate Evaluation of Tool Storage and Selection System Based on Fuzzy Evidence Theory

doi:10.12141/j.issn.1000-565X.180401

Journal of South China University of Technology(Natural Science Edition) ›› 2019, Vol. 47 ›› Issue (5): 81-88.doi: 10.12141/j.issn.1000-565X.180401

• Mechanical Engineering • Previous Articles Next Articles

Failure Rate Evaluation of Tool Storage and Selection System Based on Fuzzy Evidence Theory

CHEN Bingkun^{1， 2} ZHANG Yingzhi^{1， 2} SHEN Guixiang^{1， 2} QIN Mengmeng^2，3

1． Key Laboratory of CNC Equipment Reliability，the Ministry of Education，Jilin University，Changchun 130022，Jilin， China; 2． School of Mechanical and Aerospace Engineering，Jilin University，Changchun 130022，Jilin，China; 3． Fuzhou BOE Optoelectronics Technology Co．，Fuzhou 350300，Fujian，China

Received:2018-08-11 Revised:2018-12-26 Online:2019-05-25 Published:2019-04-01
Contact: 张英芝( 1970-) ，女，博士，教授，博士生导师，主要从事数控装备可靠性工程研究． E-mail:zhangyz@jlu.edu.cn
About author:陈炳锟( 1984-) ，女，博士，副教授，主要从事数控装备可靠性分析及故障诊断研究
Supported by:
Supported by the National Science and Technology Major Project( 2015ZX04005005) and the Jilin Provincial Department of Science and Technology Foundation( 20170101212JC)

Abstract

Abstract: The tool storage and tool selection system is the weak link of a machining center． The accurate evaluation of the system's failure rate is important to the improvement of machine reliability． However，due to the lack of fault data and the high complexity of the system itself，there exists uncertainty in evaluating the failure rate of system components． In order to solve this problem，this paper comprehensively considers the multisource influencing factors causing the failure，uses the evidence theory to deal with the uncertain information effectively，combines the multisource information by means of projection weighting，and adopts the reliability fuzzy language set theory to deal with the fuzzy treatment of the influencing factors of fault rate． Then，the evaluation results of the component failure rate expressed by interval number are obtained． Finally，an example application of the tool storage and selection system of a certain machining center in China is conducted to verify the effectiveness and feasibility of the proposed method

Key words: tool storage and selection system, failure rate interval, uncertainty, evidence theory

CLC Number:

TG659

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Failure Rate Evaluation of Tool Storage and Selection System Based on Fuzzy Evidence Theory

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