摘要
该文主要研究了纺织传感器数据预处理方法,通过对数据预处理方法的调研,根据传感器数据冗余较多的特点,采用了主成分分析法进行数据预处理,并通过仿真验证了方法的有效性。
The main research object of this paper is the collected data from textile sensors.Firstly,this paper classifies the data pretreatment methods.According to the redundancy of the data,it is more accurate and reliable to use the principal component analysis method.The simulation results also prove this conclusion.
出处
《电子质量》
2016年第3期7-10,共4页
Electronics Quality
关键词
传感器数据预处理
主成分分析法
数据冗余
Data pretreatment of the sensors
Principal component analysis method
Redundancy of the data
