摘要
文章采用逐步多元线性回归来选择面料吸收光谱1300nm^1800nm的特征波长,就棉和涤纶的混合面料进行含量检测研究。通过计算相关系数,对平滑处理后的吸收数据建立校准方程,棉和涤纶的检测精度为6%。实验表明近红外检测可以用于纺织面料的定性和定量分析。
Depending on near infrared absorption spectrum of textile fiber between 1300nm and 1800nm, near infrared （NIR） spectrum technology is used to predict the chemical properties of textile fiber, coupled with multivariate analytic statistical techniques. In this paper, we adopt stepwise multiple linear regression （SMLR） to select characteristic wavelength of textile fiber, and to research the concentration of the mixture of cotton and terylene. By computing correlation coefficient,we establish calibration equation with the smoothed absorbance data. The error is controlled under 6%. The experiment shows that NIR technology can be used as a method of qualitative analysis and quantitative analysis for textile fiber.
出处
《激光与红外》
CAS
CSCD
北大核心
2005年第10期768-770,共3页
Laser & Infrared
基金
浙江省重点科技计划项目(No.2004C21043)
关键词
近红外
特征波长
纺织纤维
逐步多元线性回归
near infrared
characteristic wavelength
textile fiber
stepwise multiple linear regression
