PROJECT TITLE :

Improved DGA method based on rules extracted from high-dimension input space

ABSTRACT :

The diagnosis of incipient faults in power system parts like transformers is sometimes based on the concentrations of dissolved gases existent within the insulation oil. There are consolidated DGA-based (dissolved gas analysis) methods within the literature, like the Duval triangle. But, they present some limitations like the existence of non-call areas and erroneous results. Proposed may be a straightforward methodology to improve the analysis of incipient faults primarily based on rules extracted from a high-dimension space (twenty one attributes), fashioned by the gases concentrations and some of their interrelations. From such input space, the C4.5 technique (call tree) is employed to extract a set of interpretable rules. Databases known within the DGA technical literature like IEC TC 10 are adopted to analyse the proposed approach. Compared with a customary technique, considering all data test folders in the performed 10-folder cross-validation statistical analysis, the extracted rules show larger accuracy with a slip-up in the diagnosis of incipient faults of six.twenty five%, against eighteen.seventy five% for the Triangle method within the worst case.


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