New Attempts in Automated Partial Discharge Identification Using Pulse Sequence Analysis

摘要：

Measuring partial discharge and interpreting its patterns has become a common tool to recognize the type of insulation defects of high voltage equipments. Using statistical features of phase dependent patterns have the most use in PD analysis now. However, these patterns contain less information of PD pulses sequence which is in close relation with defect type. Therefore, nowadays more research studies are conducted in utilizing pulse sequence analysis (PSA) in PD classification. In this literature, a new automated PD classifier based on PSA is introduced and its application is investigated using experimental works on artificial PD defects.

关键词： Partial Discharge Defect Identification Pulse Sequence Analysis

作者: Hasan Reza Mirzaei Asghar Akbari Mahdi Allahbakhshi Mohammead Kharezi

作者单位: K.N.Toosi University of Technology, Faculty of Electrical Engineering Iran-Transfo Company

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: 493-496

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）