Avaliação da degradação do sistema isolante óleo-papel usando análise de imagens e técnicas espectroscópicas combinadas com métodos de calibração multivariada e resolução de curvas

• Autor(a) principal: Godinho, Mariana da Silva
• Data de Publicação: 2014
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: Repositório Institucional da UFG
• Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tede/5175
• topic: Óleo isolante; PARAFAC; MCR-ALS; VIP; Fusão de dados; Insulating oil; PARAFAC; MCR-ALS; VIP; Data fusion; CIENCIAS EXATAS E DA TERRA::QUIMICA

The lifetime of a power transformer is determined by the state of degradation of its insulation system. This system consists of Kraft paper immersed in insulating oil (IMO). In order to prevent an abrupt crash transformer its oxidation state should be monitored. This monitoring is performed using physico-chemical and chromatographic assays. The physico-chemical parameter of greatest importance is the interfacial tension (IT), which is a measure for assessing indirectly the oxidation state of the Kraft paper. The objective of this thesis to propose analytical methodologies to evaluate the oxidation process of the insulation system, both in naturally and accelerated degraded oil samples, using Image Analysis and spectroscopic techniques combined with methods of Multivariate Calibration (Partial Least Squares - PLS), Resolution Multivariate Curve and Data Fusion. Spectra of Moleculular Fluorescence (MF), Nuclear Magnetic Resonance of 1H (1H NMR), Fourier Transform Near Infrared (FT-NIR) and RGB images were obtained for a set of 268 oil samples provided by CELG Distribuição S.A. (CELG D). Subsequently, spectra in the Ultraviolet-Visible (UV-Vis) region, FM and RGB images were obtained for a set of 24 oil samples subjected to an accelerated degradation. PLS models were obtained in order to predict the IT and color parameters for the set of samples provided by CELG D. For the set of degraded samples PLS models were obtained for prediction of degradation time. PARAFAC and MCR-ALS models were obtained to evaluate the oxidation process of the insulating system and too identify the pure spectra of possible compounds formed during this process. Furthermore, low level data fusion combined with variable selection using the Variables Importance in the Projection (VIPs) was used in this study to obtain PLS models. The best PLS model for the set of samples provided by CELG D was obtained for the fused spectroscopic data using variable selection by VIPS. This model provided a mean square error of prediction (RMSEP) of 2.9 mN/m for IT and 0.3 for the color parameter (dimensionless units). PARAFAC and MCR-ALS models allowed to assess the process of system degradation. The proposed methodologies are fast and non-destructive, showing great advantages over traditional methods, which take a long time, and generate a lot of waste. This work opens perspectives for an online monitoring to assess the degradation of the insulating system besides having permitted a more detailed study on the compounds formed during the degradation process.