中国机械工程

• 机械基础工程 • 上一篇    下一篇

数控机床全生命周期重要性测度分析

谷东伟1;王志琼2;赵希禄3;樊少华2   

  1. 1.长春工业大学,长春,130012
    2.吉林大学,长春,130025
    3.埼玉工业大学,日本,埼玉
  • 出版日期:2016-10-25 发布日期:2016-10-21
  • 基金资助:
    教育部“春晖计划”资助项目(Z2014140);吉林省科技发展计划资助项目(20140520126JH)

Importance Measures Analyses of CNC Machine in Total Life Cycle

Gu Dongwei1;Wang Zhiqiong2;Zhao Xilu3;Fan Shaohua2   

  1. 1.Changchun University of Technology,Changchun,130012
    2.Jilin University,Changchun,130025
    3.Saitama University,Saitama-ken,Japan
  • Online:2016-10-25 Published:2016-10-21
  • Supported by:

摘要: 引入可靠性重要性测度进行探索分析,通过分段威布尔模型确定机床早期故障期和偶然故障期的分界点,在此基础上建立各子系统可靠性动态重要性测度模型;对早期故障期和偶然故障期子系统及整机的故障次数和故障停时进行统计分析,获得子系统失效临界重要性测度和子系统运行临界重要性测度;基于时间变化的观点对比分析三种重要性测度在早期故障期和偶然故障期确定关键子系统的差别,阐明单独采用失效临界重要性测度(故障次数)分析确定关键子系统的片面性。数控机床关键子系统的确定可为设计人员有针对性地采取纠正措施以提高数控机床可靠性和维修人员制定维修策略提供依据。

关键词: 数控机床, 失效临界重要性测度, 运行临界重要性测度, 全生命周期, 可靠性动态重要性测度

Abstract: This paper introduced reliability importance measure to exploratory analyses. The dividing points were determined through piecewise Weibull model for random failure periods and early failure periods, then the subsystem reliability importance measure dynamic model was established. The failure critical importance measure and operational critical importance measure could be obtained with the statistics of failure numbers and failure down time. Finally, the three importance measures were compared and the key subsystem was determined based on the time variation in random failure periods and early failure periods. The sidedness of ascertaining the key subsystem was elucidated with failure critical importance measure (failure number) alone. Besides, the key subsystems were found and this result will be helpful for design, failure analysis and reliability improvement.

Key words: CNC machine, failure criticality importance measure, operational criticality importance measure, total life cycle, reliability dynamic importance measure

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