Adaptation of smard grid technologies

This paper addresses the problem of maintaining the reliability of power grid. It examines the present models and policies used in estimating equipment life-time and maintenance scheduling, and suggests possible improvements resulted from applying the methods of computational intelligence - fuzzy inference in particular in relation to identification and diagnosis of electrical equipment faults. The suggested methodology is based on intelligent sensing and modern data communication technologies built as a smart layer on top of the existing grid infrastructure. The main benefits of the suggested approach are the reduction of equipment downtime, improvement of diagnostic capabilities within the grid, and the reduction of maintenance cost.