Partial Discharge Measurement and Uncertainty Analysis based on Fuzzy Data Fusion

被引：0
|
作者：
Mauricio Villanueva, Juan M. [1 ]
de Macedo, E. C. T. [1 ]
Freire, Raimundo C. S. [1 ]
Guedes, Edson C. [1 ]
机构：
[1] Univ Fed Campina Grande, Dept Elect Engn, Campina Grande, Brazil
来源：
2012 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC) | 2012年
关键词：
partial discharge; uncertainties; data fusion; fuzzy logic; RECOGNITION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The estimation and monitoring of partial discharge (PD) in high voltage electrical systems (HV) allow the identification and forecast problems associated with transformers and insulators. For this purpose, this paper presents an estimation procedure of partial discharges using data fusion techniques based on fuzzy OWA operators (Ordered Weighted Average) and its uncertainties. It is presented some results obtained from the analysis of partial discharge signals measured in the laboratory using a measurement circuit in accordance with the IEC60270 requirements.
引用
收藏
页码：1033 / 1038
页数：6
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