Application of Self Organizing Map Approach for Partial Discharge Pattern Recognition of Insulators

摘要：

This paper proposes a self organizing map (SOM) based recognition method to identify the insulation defects of electrical apparatus arising from partial discharge (PD). PD patterns are detected by a PD detecting system set up in the laboratory. The significant features of PD patterns are extracted by using the nonlinear principal component analysis (NLPCA) method. Based on the feature extracted, the SOM network is further employed for the PD pattern recognition. To verify the proposed approach, experiments are conducted to demonstrate the field-test PD pattern recognition of insulators by using 250 feature vectors of field-test PD patterns. Five types of models with artificial defects are purposely created to produce five common PD activities of insulators for the experiments. The practical results show that the proposed method is promising as a solution to the PD pattern recognition.

关键词： Self organizing map Nonlinear principal component analysis Pattern recognition Partial discharge Insulators

作者: Wen-Yeau Chang

作者单位: Department of Electrical Engineering, St.Johns University Taipei, 25135, TAIWAN

会议类型: 国际会议

会议名称: 第九届电介质材料性能与应用国际会议(The 9th International Conference on Properties and Applications of Dielectric Materials)

会议地点: 哈尔滨

会议语种:英文

页码: 449-452

在线出版日期: 2009-07-19（万方平台首次上网日期，不代表论文的发表时间）