With increasing demand of economic and security operation of power systems, the implementation of condition-based maintenance of electric power equipments is expected strongly. In order to reach the goal, the key problem to be solved is how to evaluate the current health conditions of the equipments. In this paper, main attention is put on develop a evaluating algorism based of the preventive test data.By combining the fuzzy mathematics and expert acknowledge, a new algorism for evaluating health condition of electric power equipments is proposed. And more, a software package to implement the evaluating algorism is made. Field data tests have shown that evaluating results can describe health condition of the equipments satisfactory.
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