航空学报 > 1994, Vol. 15 Issue (1): 36-40

多参数空测数据的统计分析和疲劳载荷状态的确定

刘小冬, 申正金   

  1. 成都394信箱2分箱,成都,610041
  • 收稿日期:1992-12-24 修回日期:1993-07-07 出版日期:1994-01-25 发布日期:1994-01-25

STATISTICAL ANALYSIS OF MULTIPARAMETER FLIGHT DATA AND DETERMINATION OF FATIGUE LOAD STATES

Liu Xiaodong, Shen Zhengjin   

  1. Box 394-2 of Chengdu,Chengdu,610041
  • Received:1992-12-24 Revised:1993-07-07 Online:1994-01-25 Published:1994-01-25

摘要: 介绍多元统计分析理论在多参数空测数据统计分析中的应用和发展,以及由多参数统计分析确定疲劳载荷状态的方法。简述了统计分析程序的功能,给出了用某型战斗机实测数据进行统计分析的具体实施过程和结果。最后提出了由聚类分析结果确定疲劳载荷状态的归并原则。

关键词: 主成分分析, 聚类分析, 材料疲劳

Abstract: Based on the research and practical experience for many years,the use and develop- ment of the multivariate statistical analysis theory in the multiparameter flight measured data are introduced in this paper.Using average error method,k-average value method,minimum dis- tance method and Isodata method comprehensively,a multi-classification analysis method is proposed,and the minimum distance method and Isodata method are improved.The principle and steps determining the typical fatigue load states by means of the principal component analy- sis and multi-classification analysis are suggested. The calculating program is briefly introduced. Finally,an example using this procedure to the flight measured data of a kind of fighter aircraft is given.

Key words: principal component analysis, cluster analysis, fatigue (materials)

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