基于分层聚类算法的随机振动环境数据归纳

飞机平台振动环境数据归纳技术是确定飞机平台振动环境条件的关键技术,其核心是对飞机平台各测点的振动测量数据按飞机平台位置归类,将飞机平台振动环境简化为有限区域进行考虑。传统的归类方法预先给定类别,然后判断某样本是否属于该类,易受到人为因素影响。提出了基于相似性测度的聚类分析的方法,将振动环境数据进行归类,消除了人为因素的影响,改进了现有的随机振动数据归纳方法。

Induction of Stochastic Vibration Environmental Data Based on Layer Clustering

The induction technology for vibration environment measurement data of aircraft platform is the critical technology of determining vibration environmental condition of aircraft platform.The important step herein is to classify the vibration data of aircraft platform according to how is the aircraft flying and where is the sensor placed.However,the traditional method for categorizing gives the sort first,and then make certain if one sample belongs to this category,which is easy to withstand the influence of man-made factors.Categorization method of vibration measurement data was put forward,which was based on similarity measurement and clustering analysis.This method can eliminate the influence of man-made factors and is the improvement of current inductive method.