铁道科学与工程学报2017，Vol.14Issue(7)：1369-1375,7.
基于灰主成分分析法的变形信息提取研究
Research on the extraction of deformation information with gray principal component analysis
张拯 1张献州 2罗保林 3刘伟 2吴开岩3
作者信息
- 1. 中铁二院工程集团有限责任公司,四川 成都 610031
- 2. 西南交通大学 地球科学与环境工程学院,四川 成都 610031
- 3. 高速铁路运营安全空间信息技术国家地方联合工程实验室,四川 成都 610031
- 折叠
摘要
Abstract
There might be some systematic drift and random fluctuation in the results of hydrostatic levelling instruments applied to high-speed railway's real-time subsidence monitoring due to mechanical vibration, current train vibration, temperature, and air pressure changes. Therefore, there is some differences between the results of hydrostatic levelling instruments and those of the second-class leveling. Based on the PCA's theory and the mathematical model, the grey system theory was introduced to improve PCA to form the GPCA (Grey Principle Component Analysis), where the basis feature vectors were improved in order to get a good effect on sequential deformation information extraction.关键词
GPCA/PCA/变形信息提取/灰色系统/液体静力水准仪/准确性Key words
grey principlre component analysis/principle component analysis/deformation information extraction/grey system/hydrostatic leveling/accuracy分类
天文与地球科学引用本文复制引用
张拯,张献州,罗保林,刘伟,吴开岩..基于灰主成分分析法的变形信息提取研究[J].铁道科学与工程学报,2017,14(7):1369-1375,7.
