机械工程

基于模糊证据理论的储刀选刀系统故障率评估

  • 陈炳锟 张英芝 申桂香 秦猛猛
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  • 1. 吉林大学 数控装备可靠性教育部重点实验室,吉林 长春 130022;
    2. 吉林大学 机械与航空航天工程学院, 吉林 长春 130022;
    3. 福州京东方光电科技有限公司,福建 福州 350300
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

收稿日期: 2018-08-11

  修回日期: 2018-12-26

  网络出版日期: 2019-04-01

基金资助

 国家科技重大专项( 2015ZX04005005) ; 吉林省科委项目( 20170101212JC) ; 中央高校基本科研业务专项资金资 助项目 

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

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  •  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
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

Received date: 2018-08-11

  Revised date: 2018-12-26

  Online published: 2019-04-01

Supported by

 Supported by the National Science and Technology Major Project( 2015ZX04005005) and the Jilin Provincial Department of Science and Technology Foundation( 20170101212JC) 

摘要

储刀选刀系统是加工中心的薄弱环节,准确评估其故障率对提升整机可靠性意 义重大. 然而,由于系统故障数据较少、复杂程度高等原因,评估其部件故障率存在不确定 性. 基于此,文中综合考虑引起故障的多源因素,采用证据理论有效处理不确定性信息,通 过投影加权法进行多源信息融合,同时采用可靠性模糊语言集理论进行故障率影响因素 的模糊化处理,进而确定以区间数表达的部件故障率评估结果. 最后以国产某加工中心储 刀选刀系统为例进行了实例分析,验证了该方法的有效性和可行性. 

本文引用格式

陈炳锟 张英芝 申桂香 秦猛猛 . 基于模糊证据理论的储刀选刀系统故障率评估[J]. 华南理工大学学报(自然科学版), 2019 , 47(5) : 81 -88 . DOI: 10.12141/j.issn.1000-565X.180401

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

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