A new assessment method based on the combination of factor analysis and probabilistic neural network (PNN) is proposed to meet the research of main equipment condition-based maintenance in power distribution network . As the quantity of parameters that represent the state of the cable is many,the multi-source information database is established . The missing parameters for incomplete information is eliminated,and the factor analysis is used to calculate the main factors of the database and their factor scores, and the probability neural network was used to evaluate the operation status of the cable, then obtain a condition assessment method of power cable based on the probability neural network.Simulation results show that the proposed method could assess the state of power cable condition for the incomplete information effectively and accurately, and also provide reliable guidance for the cable maintenance.
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