东北大学学报(自然科学版) ›› 2024, Vol. 45 ›› Issue (2): 226-233.DOI: 10.12068/j.issn.1005-3026.2024.02.010

• 机械工程 • 上一篇    

基于改进阿林斯法的数控机床子系统可靠性分配

黄贤振1,2, 孙超1, 赵成英1, 刘洋1   

  1. 1.东北大学 机械工程与自动化学院,辽宁 沈阳 110819
    2.东北大学 航空动力装备振动及控制教育部重点实验室,辽宁 沈阳 110819
  • 收稿日期:2022-09-06 出版日期:2024-02-15 发布日期:2024-05-14
  • 作者简介:黄贤振(1982-),男,山东定陶人,东北大学教授,博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(51975110);辽宁省“兴辽英才计划”项目(XLYC1907171);中央高校基本科研业务费专项资金资助项目(N2003005)

Reliability Allocation of NC Machine Tool Subsystem Based on Improved ARINC Method

Xian-zhen HUANG1,2, Chao SUN1, Cheng-ying ZHAO1, Yang LIU1   

  1. 1.School of Mechanical Engineering & Automation,Northeastern University,Shenyang 110819,China
    2.Key Laboratory of Vibration and Control of Aero-Propulsion Systems,Ministry of Education,Northeastern University,Shenyang 110819,China. Corresponding author: HUANG Xian-zhen,E-mail: xzhhuang@mail. neu. edu. cn
  • Received:2022-09-06 Online:2024-02-15 Published:2024-05-14

摘要:

根据采集到的某国产数控机床的故障信息进行分析整理并进行子系统划分,结合数控机床相关性模型改进可靠性分配方法进行目标值分配.应用层次分析法建立影响因素隶属度集,采取DEMATEL决策实验室分析法确定故障相关数据的中心度影响因素,结合维修性、维修时间、故障停时、故障次数及复杂度确定隶属度函数集,对于各影响因素的权重的确定采用熵权法,进而计算出数控机床的可靠性分配因子.将影响度因素引入阿林斯分配法进行改进,使改进后的方法适用于各子系统串联且存在故障相关性的系统.数值算例表明,相较于传统阿林斯法,本文方法能够减少子系统对故障时间的要求.同时,为验证本文分配结果的合理性,采用蒙特卡洛仿真法以分配结果为基础对目标机床整机进行可靠性预计,计算结果证明了方法的可行性.

关键词: 数控机床, 相关性, DEMATEL决策实验室分析, 改进阿林斯法, 可靠性分配

Abstract:

According to the collected fault information of a domestic NC machine tool, the subsystem is divided, and the reliability allocation method is improved according to the NC machine tool correlation model to allocate the target value. The membership degree set of influencing factors is established using the analytic hierarchy process (AHP), and the centrality influencing factors of fault-related data are determined using the DEMATEL decision laboratory analysis method. The membership function set is determined by combining maintainability, maintenance time, failure downtime, failure times, and complexity. Then the reliability allocation factor of the NC machine tool is calculated. The impact factor is introduced into the ARINS allocation method to improve the method so that the improved method is suitable for the system with subsystems connected in series and fault correlation. Numerical examples show that the proposed method can reduce the failure time requirement of the subsystem compared with the traditional ARINS method. At the same time, to verify the rationality of the distribution results in this paper, the Monte Carlo simulation method is used to predict the reliability of the target machine tool based on the distribution results, and the calculation results prove the feasibility of this method.

Key words: NC machine tool, correlation, DEMATEL decision laboratory analysis, improved ARINC method, reliability allocation

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