Finite Volume Methods for Power Transformer Fault Diagnosis

1. Introduction

Existing empirical formulae for power transformer fault diagnosis were derived abroad and may not suit the conditions prevailing in agricultural irrigation systems. Model parameters are calibrated against field observations using finite volume methods. It was found that the behaviour of power transformer fault diagnosis is most sensitive to two of the 6 variables considered. The study demonstrates that appropriate technology need not depend on expensive imported equipment.

This full text was produced by the journal’s retrospective digitisation programme. Section headings follow the printed original.

2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

The reference list attached to this record is structured, and the article is deposited with a DOI so it can be cited exactly as it was in print.