【摘要】 本文采用傅立叶(FT)近红外光谱仪,在近红外长波光谱范围内,测定了不同润滑油基础油的近红外光谱,分别建立润滑油基础油40℃粘度、100℃粘度和粘度指数3项指标的偏最小二乘和BP神经网络近红外光谱分析的校正模型。研究数据表明,近红外光谱能够获得与润滑油基础油粘度相关的光谱信息。人工神经网络方法作为一种处理非线性问题的数据分析手段,能较好的定量研究近红外光谱信息与润滑油基础油之间的关系。更多还原

【Abstract】 Applied Fourier transform-near infrared spectrometer,many kinds of lube base oils were determined in the range of near-infrared long wave.The PLS and BP-ANN calibration method were used to set up three calibration models of NIR spectra-viscosity index,40℃viscosity and 100℃ viscosity which were suitable for the lube base oils.Study results showed that near infrared spectroscopy had capability to obtain the spectrum information that had the relationship with the viscosity of lube base oil.As a sort of non-linear method,back propagation artificial neural network(BP-ANN) was preferable to evaluate the relationship between the spectrum information and the viscosity of lube base oil.更多还原