• CN:11-2187/TH
  • ISSN:0577-6686

›› 2006, Vol. 42 ›› Issue (12): 218-223.

• 论文 • 上一篇    下一篇

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机械系统属性的灰假设检验

夏新涛;陈晓阳;张永振;王中宇;刘春浩   

  1. 上海大学轴承研究室;河南科技大学机电工程学院;北京航空航天大学仪器科学与光电工程学院
  • 发布日期:2006-12-15

GREY HYPOTHESIS TESTING FOR MECHANICAL SYSTEM ATTRIBUTE

XIA Xintao;CHEN Xiaoyang;ZHANG Yongzhen;WANG Zhongyu;LIU Chunhao   

  1. Research Institute of Bearings, Shanghai University College of Mechanical and Electronical Engineering, Henan University of Science and Technology College of Instrumental Science and Photoelectric Engineering, Beihang University
  • Published:2006-12-15

摘要: 以灰色系统理论为基础,提出一种新的假设检验方法即灰假设检验,以解决经典统计理论的某些问题。这种方法从生成排序与规范化数据序列出发,用灰关联原理定义灰置信水平、灰差与属性权重映射等概念,建立系统属性假设检验的灰否定域。对理想系统如正态分布、瑞利分布、均匀分布与周期系统等,以及实际工程系统如滚动轴承振动与噪声关系等进行试验研究,结果表明所提出的灰假设检验方法对系统属性和系统间的独立性没有任何特殊要求,允许概率分布未知与数据个数很少,并具有很好的检验效果,灰置信水平达到95%。

关键词: 灰色系统理论, 机械工程, 统计检验, 系统分析

Abstract: Based on grey system theory, a novel method of hypothesis testing is proposed to solve some problems of classical statistics. This method is called grey hypothesis testing. Started with generating the order and normative data ranks, the grey rejected region of hypothesis testing, characterized by defining the spe-cial conceptions, for example grey confidence level, grey difference, and attribute weighting mapping, etc, is suggested using grey relational element. Perfect systems such as normal distribution, uniform distribution, Rayleigh distribution and periodic change system, etc, and practical engineering systems such as system about vibration and noise of rolling bearings are investigated. The method proposed permits probability distribution unknown and sample data small, without any especial requirement for attribute of systems and independence between systems. Some good efficacy by dint of the grey hypothesis testing method is validated, and the approximate 95% grey confidence level is yielded.

Key words: Grey system theory, Mechanical engineering, Statistical tests, System analysis

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