Intelligent decision support in the electrical equipment diagnostics

Abstract

The intelligent support technique for electrical personnel activities in the power grid facilities equipment diagnostics was considered. The technique is aimed at providing an accurate assessment of electrical equipment actual condition and the timely identification of its need to be repaired in the condition of uncertainty. Conceptual model of decision support in the electrical equipment diagnostics within the strategy of its repairing according the actual technical condition is developed. The model is based on the combination of methods for processing and analysis of heterogeneous data about the object. These methods are used for structural and parametric synthesis of fuzzy diagnostic models and their adaptation to the conditions of electrical equipment operation in order to ensure high accuracy of the result.