Study on Trace Water Influence on Electrical Properties of Insulating Oil Based on the Mid-Infrared Spectrum Analysis
CHEN Bin, WU Hong-yang, HAN Chao, YAN Huan, LIU Ge*
Engineering Research Centre for Waste Oil Recovery Technology and Equipment, Ministry of Education, Chongqing Technology and Business University, Chongqing 400067, China
Abstract:Trace water has a significant impact on the electrical performances of the insulating oil, such as the dielectric loss factor, resistivity. So there is an important significance to investigate the influence of insulating oil by trace water, and monitor its operating status with effective measures. First, it is necessary to prepare the insulating oil samples with different water content and treat them 8 hours with ultrasonic oscillator, and observe microscopic images about the water-oil mixtures in order to study their relative uniformity and stable time, in the way it can be concluded that the relative uniformity can be kept favorable during the 25 min stable time for free water and emulsification water in oil; Based on this conclusion, the dielectric loss factor, resistivity were tested and the electrical performances of insulating oil with different water content in oil can obtained by analyzing these data; Then, the absorbance value of the different water content in oil at the spectral wave number of 1 640, 3 400, 3 450, 3 615 cm-1, with the mid-infrared spectral scanning and analyzing to the different water content in oil, Therefore, combined the water absorbance values by the mid-infrared spectral scanning and analyzing with the experimental data of dielectric loss factor value, resistivity value of oil samples. The results shows that the absorbance value of the different water content in oil has a significant difference at the spectral wave number of 1 640, 3 400, 3450, 3 615 cm-1, their correlation coefficient are 0.964 1,0.984 8,0.984 5,0.944 0 between the absorbance value and water content at the spectral wave number of 1 640, 3 400, 3 450, 3 615 cm-1, it can be obtained that the absorbance value of sample of moisture in the corresponding characteristic wave number can better reflect the change trend of water content; there is the highly relative of water absorbance values at the spectral wave number of 3 400 and 3 450 cm-1 with the trends of oil dielectric loss factor values, their correlation coefficient are 0.860 6, 0.863 6;and relative of water absorbance values at the spectral wave number of 1 640 and 3 615 cm-1 with the trends of oil resistivity values, their correlation coefficient is -0.931 5 and -0.968 0, this result can be lay the foundation research for monitoring the trace water in oil.
陈 彬,武宏阳,韩 超,颜 欢,刘 阁* . 基于中红外光谱分析的微水对绝缘油电气性能影响研究 [J]. 光谱学与光谱分析, 2015, 35(10): 2740-2745.
CHEN Bin, WU Hong-yang, HAN Chao, YAN Huan, LIU Ge* . Study on Trace Water Influence on Electrical Properties of Insulating Oil Based on the Mid-Infrared Spectrum Analysis . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(10): 2740-2745.
[1] LIANG Xi-dong, CHEN Chang-yu, ZHOU Yuan-xiang(梁曦东,陈昌渔,周元翔). High Voltage Engineering(高电压工程). Beijing: Tsinghua University Press(北京:清华大学出版社),2003. [2] LU Long-hui, ZHU Chang-ping, CHEN Jun(路龙惠, 朱昌平, 陈 畯). Journal of Hebei University(Natural Science Edition(河北大学学报), 2006, 26(6): 668. [3] ZOU Ping, LI Jian, SUN Cai-xin, et al(邹 平, 李 剑, 孙才新,等). High Voltage Engineering(高电压技术), 2011, 37(7): 1627. [4] GAN De-gang, QING Chen-wei, LIU Fan(甘德刚, 青晨唯, 刘 凡). High Voltage Apparatus(高压电器),2012, 48(1):48. [5] Du Y, Zahn M, Lesieutre B C, et al. IEEE Electr. Insul. Magazin., 1999, 15(1): 11. [6] Margolis S A, Angelo Jacob B. Anal. Bioanal. Chem., 2002, 374: 505. [7] Itahashi S, Mitsui H, Sato T, et al. IEEE Transactions on Dielectrics and Electrical Insulation, 1995, 2(8): 1117. [8] WENG Shi-fu(翁诗甫). Fourier Transform Infrared Spectroscopy(傅里叶变换红外光谱分析). Beijing: Chemical Industry Press(北京:化学工业出版社), 2010. [9] Cohen, Jacob, et al. Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Routledge, 2013. [10] VladikKreinovich, Hung T Nguyen, Berlin Wu. International Journal of Intelligent Technologies and Applied Statistics, 2013, 3(6): 215. [11] MENG Qun-hui, WANG Wei-xia, MAO Ling-ling, et al(孟群辉,王维霞,毛玲玲,等). Guangdong Chemistry(广东化工), 2014, 40(14): 97. [12] Koch M, Krueger M, Puetter M. Advanced Insulation Diagnostic by Dielectric Spectroscopy, TechCon Asia Pacific, Sydney, Australia, 2009. [13] Jeremy Adler, IngelaParmryd. International Society for Advancement of Cytometry,2010, 77(8): 733. [14] Rachel T Fouladi, James H. Communications in Statistics—Simulation and Computation, 2008, 37(5): 928. [15] Byung Young Moont, Soo Young Kim, GyungJu Kan. International Journal of Modern Physics B, 2008, 22(9): 1801.