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In this paper, a statistical approach for evaluating the transformer's paper insulation is proposed. The proposed approach adopts multi-variable analysis to investigate the correlations between the degree of polymerization (DP) of paper insulation and increase rates of different dissolved gases in oil. Moisture in paper, oxygen and temperature are important factors influencing paper insulation degradation...
This paper addresses the problem of diagnosing the fault symptoms of power transformers with measurement originated uncertainties, which arise from the imprecision of samples (i.e. due to noises and outliers) and the effect of class imbalance (i.e. samples are unequally distributed between different fault types) in a training dataset used to identify different fault types. Two fuzzy support vector...
To ensure the reliable operation of the power transformer, its conditions must be continuously monitored and assessed. The transformer condition assessment should make use every piece of information (evidence), which includes not only the measurement data of the transformer under investigation, but also the historic data of this transformer and other similar transformers. To acquire an integrated...
Power transformers are one of the most critical equipments in electricity network. A number of techniques such as dissolved gas analysis (DGA), polarization and depolarization currents (PDC) measurement and frequency domain spectroscopy (FDS) have been adopted across utilities for transformer insulation diagnosis. However, there are still considerable challenges remaining in interpreting measured...
This paper addresses the problem of assessing the fault symptoms of a power transformer's insulation system under measurement originated uncertainties, which arise from the imprecision of data sets used to identify different fault types. Such measurement originated uncertainties cause difficulties in interpreting measurement results obtained from practical power transformer insulation diagnosis methods...
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