摘要
电气设备局部放电模式识别是指对电气设备的放电故障类型进行识别。作为局部放电故障诊断技术的基础,它为局部放电风险程度评估提供重要的参考信息。对国内外在电气设备局部放电模式识别技术方面的研究现状进行梳理,分别从局部放电模式构造、特征量提取以及分类器选择3方面进行归纳总结。讨论了目前局部放电模式识别各环节研究及实践中存在的问题,最后从融合多种放电模式的特征量信息、优化改进分类器以及寻优分类决策等方面对局部放电模式识别技术的发展进行展望。
Partial discharge (PD) pattem recognition of electrical equipment refers to identify the partial discharge fault types of electrical equipment. As a basis of partial discharge fault diagnosis technology, PD pattern recognition provides the important reference information for risk assessment of PD. We summarized the recent researches and developments of PD pattern recognition, and reviewed the structure of PD patterns, the extraction of features, and the selection of classifi- ers, respectively. Moreover, we discussed some problems existing in the research and practice. Finally, we described the future developments and applications of PD pattern recognition, including the information fusion of features based on a variety of PD patterns, the optimization of classifiers, and the classification decision.
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2017年第7期2263-2277,共15页
High Voltage Engineering
关键词
局部放电
模式识别
局部放电模式
特征量
分类器
信息融合
分类决策
partial discharge
pattern recognition
PD patterns
feature
classifier
information fusion
classification decision