@inproceedings{62b975064ef949d4bd8b592aa4715ac4,
title = "Correlation between dissolved gases and oil spectral response",
abstract = "Spectroscopy is a powerful non-destructive technique that utilizes electromagnetic radiation interaction effect to determine the energy level and structure of atomic or molecular substance. Spectroscopy technique has been successfully used to quantify some power transformer condition monitoring parameters such as Furan and oil interfacial tension value. This paper investigates the feasibility of extending the applications of this technique to identify and quantify various dissolved gases in the transformer oil. In this context, several transformer oil samples with various gases concentrations have been prepared. Dissolved gases in each sample were first quantified using gas chromatography-mass spectrometry (GC/MS) laboratory measurement technique. The spectral response of each sample was then measured using UV-NIR and FTIR spectroscopy. Correlation between oil spectral response and the concentration of each gas is realized using adaptive neuro fuzzy inference system (ANFIS).",
keywords = "ANFIS, FTIR, NIR, Spectroscopy, UV-Vis",
author = "Huize Cui and A. Abu-Siada and Shengtao Li and S. Islam",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 1st International Conference on Electrical Materials and Power Equipment, ICEMPE 2017 ; Conference date: 14-05-2017 Through 17-05-2017",
year = "2017",
month = jul,
day = "14",
doi = "10.1109/ICEMPE.2017.7982046",
language = "英语",
series = "ICEMPE 2017 - 1st International Conference on Electrical Materials and Power Equipment",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "28--32",
booktitle = "ICEMPE 2017 - 1st International Conference on Electrical Materials and Power Equipment",
}