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| 小波系数压缩用于柴油十六烷值近红外光谱分析建模 | |
| 引用本文： | 熊智新,徐广通,胡上序.小波系数压缩用于柴油十六烷值近红外光谱分析建模[J].光谱实验室,2006,23(2):177-182. |
| 作者姓名： | 熊智新 徐广通 胡上序 |
| 作者单位： | 1. 南京林业大学化学工程学院自动化教研室,南京市龙蟠路159号,210037 2. 中国石油化工科学研究院,北京市海淀区学院路18号,100083 3. 浙江大学材料与化学工程学院,杭州市浙大路38号,310027 |
| 基金项目： | 南京林业大学校科研和教改项目 |
| 摘 要： | 近红外光谱分析建模中存在多变量高维数据处理问题,导致计算量大,不利于过程控制中应用.为此提出利用小波变换压缩近红外光谱数据的算法与准则,并结合柴油十六烷值定量分析研究压缩数据的建模效果.研究表明,经小波方法处理后,变量维数压缩30倍左右,光谱主要信息基本保留,而模型的预测精度和常规预处理方法分析相比有明显提高.光谱数据压缩的同时包含了噪声滤除和基线校正,简化数据处理步骤,有利于NIRS实际应用时提高建模效率. |
| 关 键 词： | 近红外光谱 小波变换 数据压缩 十六烷值 |
| 文章编号： | 1004-8138(2006)02-0177-06 |
| 收稿时间： | 2005-09-15 |
| 修稿时间： | 2005-10-17 |
Compression of Wavelet Coefficients Applied in Calibration Model for Diesel Cetane Number by Near-Infrared Spectroscopy(NIRS) |
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| XIONG Zhi-Xin,XU Guang-Tong,HU Shang-Xu.Compression of Wavelet Coefficients Applied in Calibration Model for Diesel Cetane Number by Near-Infrared Spectroscopy(NIRS)[J].Chinese Journal of Spectroscopy Laboratory,2006,23(2):177-182. | |
| Authors: | XIONG Zhi-Xin XU Guang-Tong HU Shang-Xu |
| Institution: | College of Chemical Engineering,Nanjing Forest University,No. 159 Longpanlu,Nanjing 210037,P. R. China; a Research Institute of Pelroleum Processing of SINOPEC,No. 18 Xueyuanlu,Beijing 100083,P. R. China; b . College of Material and Chemical Engineering, Zhejiang University, No. 38 Zhedalu, Hangzhou 310027, P. R. China |
| Abstract: | Regression is a commonly used method for NIRS analysis model dealing with a large numbers of variables resulting in huge calculations and lower efficiency of operations.In this paper,wavelet transform is employed to preprocess individual signals of NIRS,which reduces the number of variables drastically by extracting a few of larger wavelet coefficients according to some proposed criterion without loss of important information.Partial Least Squares (PLS) is used to calculate a regression model for cetane number prediction in diesel fuel on the compressed data set with few variables and the denoising and correcting baseline.The prediction results with the new model are improved compared to that of conventional method.The NIRS analysis model can be obtained more straightforwardly and efficiently. |
| Keywords: | Near Infrared Spectroscopy Wavelet Transform Data Compression Cetane Number |
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