Mineral oil is one of the most important insulating materials used for electro insulating & cooling of transformers. For monitoring & diagnosing the incipient fault in power transformers, dissolved gas analysis (DGA) technique is used. DGA have some drawbacks such as it requires regular instrument calibration, standard carrier gas and so on. To overcome these drawbacks, Fourier transform infrared spectroscopy (FTIR) & UV- Visible spectroscopy are used to determine dissolved gas present & ageing of oil. Once the gases are quantified from the FTIR result they can be interpreted using various diagnostic methods mentioned in IEEE Std.C57.104-2008. Also, absorption spectroscopy is considered for condition assessment tool to inspect the oil. By adopting Ultraviolet absorption technique, transformer health assessment is developed: UV-Visible spectroscopy is used. As in search of solution to the harmful & ecological problems, due to non-biodegradability & toxicity by mineral oil, the soya bean seed oil was carried out for the production of transformer insulating oil. In this proposed work, we carried out results from both FTIR & UV-Vis spectroscopy for both mineral oil & soya bean oil & compared both oil by preparing samples heated at 150 °C for 24hrs & 48hrs.

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In this research effort, we propose a novel mesh smoothing algorithm using Cubic B-Splines. The basic fact that the coordinates of neighboring vertices of a mesh vary insignificantly is the underlying idea of this paper. The mesh reconstruction is performed by replacing the corrupt vertices which are responsible for the rugged topology of the mesh by interpolating the original noise-free vertices. The final reconstructed meshes were quantitatively measured using Signal to Noise ratio. The results were impressive both in quantitative and visual terms.