中国机械工程 ›› 2014, Vol. 25 ›› Issue (12): 1623-1629.

• 机械基础工程 • 上一篇    下一篇

加工中心加速可靠性增长试验中加速应力的选择方法

张根保;郭书恒;柳剑   

  1. 重庆大学,重庆,400030
  • 出版日期:2014-06-26 发布日期:2014-06-27
  • 基金资助:
    国家自然科学基金资助项目(51175527);国家科技重大专项(2012ZX04011-031) 

Selective Method of Accelerated Stresses in Accelerated Reliability Growth Test for Machining Centers

Zhang Genbao;Guo Shuheng;Liu Jian   

  1. Chongqing University,Chongqing,400030
  • Online:2014-06-26 Published:2014-06-27
  • Supported by:
    National Natural Science Foundation of China(No. 51175527);National Science and Technology Major Project ( No. 2012ZX04011-031)

摘要:

通过定义故障的特征属性,用特征属性集合来表征故障;利用模糊数学建立了系统故障和故障应力之间的模糊关系;依据专家知识,利用二元排序法求得模糊关系矩阵;利用模糊一致性矩阵求得故障特征属性权重和系统故障权重;根据模糊变换原理,实现了对故障应力备择集的模糊综合评判;解决了加速可靠性增长试验中加速应力选择的问题。以加工中心端齿盘分度式数控转台为例进行了实例分析,得出了对系统故障应力的模糊综合评判结果,选出最优的加速应力组合,并与传统方法进行了比较,证明了该方法的有效性。

关键词: 故障特征属性, 加速应力, 模糊关系矩阵, 模糊综合评判

Abstract:

Based on the definition of failure characteristic attribute, the attribute collection was used to represent the failure. The fuzzy relation between system failures and failure stresses could be established according to the fuzzy theory. On the basis of the expert knowledge, the fuzzy relation matrix could be calculated by binary sorting. The failure attribute weight and system failure weight could be calculated by using the fuzzy consistent matrix. According to the fuzzy transformation theory, the fuzzy comprehensive evaluation of the failure stress alternative set could be achieved, and the problem of the selection of the accelerated stresses in a accelerated reliability growth test could be solved. With the analysis of how the end-toothed disc dividing type NC rotary works, this paper gained the results of the fuzzy comprehensive evaluation of the system failure stress and picked up the best accelerated stress combination. In addition, this paper also testified the availability of this method by comparing with the traditional methods.

Key words: failure characteristic attribute, accelerated stress, fuzzy relation matrix, fuzzy comprehensive evaluation

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