CAJ | 학술논문

近红外光谱( NIRS)可以检测溶解于油中的水分含量,但油中水分较多时会散射而非吸收NIRS,从而引起较大误差。为此,筛选非离子型表面活性剂( Span-80)将含水油液稳定分散成小颗粒,利用其NIRS数据建立水分含量的支持向量回归模型。实验中油水稳定化将NIRS测定变压器油中水分含量的上限从传统的0.1%提升到1%(V/V),通过应用连续投影算法,在511个NIRS变量中筛选出15个有效变量(占原变量的2.9%),建立的支持向量回归模型对验证集的预测均方根误差为2.93%,相关系数为0.9944,相对分析误差为9.4732。
근홍외광보( NIRS)가이검측용해우유중적수분함량,단유중수분교다시회산사이비흡수NIRS,종이인기교대오차。위차,사선비리자형표면활성제( Span-80)장함수유액은정분산성소과립,이용기NIRS수거건립수분함량적지지향량회귀모형。실험중유수은정화장NIRS측정변압기유중수분함량적상한종전통적0.1%제승도1%(V/V),통과응용련속투영산법,재511개NIRS변량중사선출15개유효변량(점원변량적2.9%),건립적지지향량회귀모형대험증집적예측균방근오차위2.93%,상관계수위0.9944,상대분석오차위9.4732。
Near infrared spectroscopy ( NIRS) is capable of determining water contents in oils. However, too much moisture contents in the oils will scatter rather than absorb the NIRS. This may cause greater measurement error. For this reason, a nonionic surfactant (Span-80) was screened to make the water in the oils evenly dispersed into small droplets. The NIRS analysis was subsequently employed to build support vector regression ( SVR ) model of the water content. In this experiments, the upper limit of the water content determination was improved from the conventional 0. 1% to 1. 0% ( V/V) by the oil-water stabilization. Applying successive projection algorithm, 15 valid variables (2. 9% of the original ones) from 511 NIRS variables were selected. With the proposed SVR model, the measurement precision criteria for the validation dataset were root mean squares error percentage 2 . 93%, correlation coefficient 0 . 9944 , and relative percent derivation 9 . 4732%.