Calculation of a Health Index of Oil-Paper Transformers Insulation with Binary Logistic Regression

Abstract

This paper presents a new method for calculating the insulation health index (HI) of oil-paper transformers rated under 110 kV to provide a snapshot of health condition using binary logistic regression. Oil breakdown voltage (BDV), total acidity of oil, 2-Furfuraldehyde content, and dissolved gas analysis (DGA) are singled out in this method as the input data for determining HI. A sample of transformers is used to test the proposed method. The results are compared with the results calculated for the same set of transformers using fuzzy logic. The comparison results show that the proposed method is reliable and effective in evaluating transformer health condition.

Probabilistic Health Index-Based Apparent Age Estimation for Power Transformers

“…Such labels (health index), generally, are firstly determined by the weightedscore-sum based health index through formula (1). Similar to ANN or SVM, such labeled data are also essential to the regression-based health index [28], [29]. The goal of this type of health index is to find the optimal curve that can fit the relationship between the condition data and the health index to the greatest extent.…”

Multiparameter-Based Fuzzy Logic Health Index Assessment for Oil-Immersed Power Transformers

“…As highlighted in [1,[9][10][11][12][13][14][15], fuzzy logic HI approach based on several transformer tests have been proposed in transformer condition and health index assessment. Additionally, probabilistic approaches [16], Bayesian networks [17], and artificial neural networks have been used in determining health index [18].…”

Bayesian information fusion for probabilistic health index of power transformer

“…Recently, attempts have been made to calculate health indexes for transformers [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. The current method utilises different types of data obtained from different sources within a transformer to produce a single score to reflect its overall condition.…”

“…Other AI techniques such as binary logistic regression and analytical hierarchical process are also adopted [18,19]. In [18], only a small amount of transformer condition monitoring data (five types of oil test results) were used. Thus, the health index calculated may not reflect the overall condition of the transformer.…”