2018
DOI: 10.3390/en11020364
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Abstract: Abstract:Mineral oil is the most popular insulating liquid for high voltage transformers due to its function as a cooling liquid and an electrical insulator. Kraft paper has been widely used as transformer solid insulation for a long time already. The degradation process of transformer paper due to thermal aging in mineral oil can change the physical and chemical structure of the cellulose paper. Fourier transform infrared (FTIR) spectroscopy analysis was used to identify changes in the chemical structure of t… Show more

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Cited by 145 publications
(44 citation statements)
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References 32 publications
(61 reference statements)
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“…On the other hand, the molecular interactions between the acidic oil and the cellulosic polymers are evident by an absorption band at 1729.55 cm −1 (C=O stretching of the vibrations of a group ester) and 1207.95 cm −1 (stretching of the vibrations of the bridge C-O-C) [20]. Generally, all the acidic oils represent characteristics bands situated in the spectral region between 1700 cm −1 and 1730 cm −1 [25]. This is due to the vibrations that are attributable to the functional group C=O which confirms the presence of carboxylic acids.…”
Section: Fourier Transform Infrared Spectrometrymentioning
confidence: 99%
“…On the other hand, the molecular interactions between the acidic oil and the cellulosic polymers are evident by an absorption band at 1729.55 cm −1 (C=O stretching of the vibrations of a group ester) and 1207.95 cm −1 (stretching of the vibrations of the bridge C-O-C) [20]. Generally, all the acidic oils represent characteristics bands situated in the spectral region between 1700 cm −1 and 1730 cm −1 [25]. This is due to the vibrations that are attributable to the functional group C=O which confirms the presence of carboxylic acids.…”
Section: Fourier Transform Infrared Spectrometrymentioning
confidence: 99%
“…4 ( Figure 2). According to Munajad et al (2018), the intensities for peak absorbance was correlated with the temperature. The intensities for peak No.…”
Section: Functional Groupsmentioning
confidence: 99%
“…In short, it is worth emphasizing that the present analysis finds its application in various recent developments concerning the thermal images and IR technology such as the thermal imaging and three-phase induction motor [28], infrared analysis based fault detection [29], single-phase induction motor [30], and infrared thermography and CFD modelling [31]. In the light of Fourier transforms, artificial neural networks, and real-time analysis, the scope of this research continues towards the infrared spectroscopy and accelerated thermal aging [32], aerial infrared imagery, and convolutional neural network [33], 3D printing thermoplastics [34] and their nonuniformity corrections, see [35] towards the neural network regression.…”
Section: Introductionmentioning
confidence: 95%