摘要
针对传统纺织面料定性检测费时、费力、有污染等问题,提出近红外光谱检测法。利用近红外光谱技术对75个纯棉、纯涤、棉/涤、棉/氨面料进行定性聚类分析。采用主成分分析法提取特征光谱,利用马氏距离对样品进行聚类分析,取得了很好的归类效果,验证了近红外光谱法应用于纺织品成分检测的可行性。同时还比较了光谱预处理方法对聚类效果的影响,指出在纺织面料近红外光谱的噪声中,光谱平移占很大比例,为进一步提高模型的准确性提出了指导性意见。
A new method of qualitative inspection of textiles by Near Infrared spectroscopy technology was put forward in order to avoid the time consuming and tedious work and pollution in the traditional inspection. Qualitative clustering analysis of 75 textile samples, including cotton, terylene, cotton-terylene and cotton- polyurethane, was done via Near Infrared spectroscopy technology. Eigenvalue spectrum was extracted with principal component regression. P. C. Mahalanobis was used in classification analysis. The outcome proved that it was feasible to inspect the components of textiles via Near Infrared spectroscopy technology. Spectrum translation is the primary noise in textile Near Infrared spectrum, which was shown by comparing different spectrum pre-processing methods. Some guidance is presented for further raising the accuracy of the model.
出处
《纺织学报》
EI
CAS
CSCD
北大核心
2009年第4期55-58,共4页
Journal of Textile Research
基金
浙江省科技厅重大专项(2004C21043)
关键词
纺织品
近红外光谱
定性分析
特征光谱
textile
Near Infrared spectroscopy
qualitative analysis
eigenvalue spectrum
