Abstract:It is of great importance in studying new methods to accurately detect the concentration of furfural dissolved in transformer oil for assessing the aging degradation of insulating paper. As an effective means for detecting trace liquid, laser Raman spectroscopy (LRS) has already been applied in many fields. The simulation model of furfural molecule, which was used to analyze the Raman vibration characteristics of furfural molecule, was built by Gaussian 09W software. And the feasibility of detecting furfural molecules by LRS was verified in theory. Based on Raman spectroscopy technology, LRS liquid detection test platform was built in the laboratory. Utilizing extraction technique, the Raman spectroscopy detection characteristics of the furfural dissolved in oil were studied on this platform. The quantitative analysis method was then built based on the characteristic spectra and the least squares method. At last, transformer oil samples with different furfural concentrations were detected by LRS test platform. The test results were compared with those measured by high performance liquid chromatography (HPLC). It is shown that LRS with extraction can quantitatively analyze the trace furfural dissolved in transformer oil effectively, which proposes a new way to fast detect furfural concentration in transformer oil.
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