A Decision Tree Evaluation Model for Health Status of DC Equipment in Converter Station Based on Multi-information Fusion
Aimed at the problems of poor mutual information fusion ability between DC equipment in converter station and diffi-culty in balancing small samples and large samples,a decision tree evaluation model for health status of DC equipment in con-verter station is designed based on multi-information fusion.The homogeneous multi-sensor and multi-information data fusion method is used to fuse them.The k-nearest neighbor method and hierarchical clustering method are used to divide the health status quantities of DC equipment in the converter station,and the effective information of the health status quantities is extrac-ted as input to build a decision tree evaluation model,and the health status evaluation results of DC equipment in the converter station is output.The experimental results show that the model has better multi-information fusion ability and sample balance ability,and can realize the health status evaluation of DC equipment in converter station from different angles,and the evalua-tion results are more accurate.
multi-information fusionconverter stationDC equipmenthealth statusdecision treeevaluation model
万方数据
维普
