摘要
为提高新一代智能变电站变电设备状态监测与评估的准确性和效率,文章研究了针对变电设备状态监测与评估的数据监测体系和手段,指出目前在线监测设备的大量应用可为大数据挖掘分析提供强有力的数据支撑,并分析了适用于新一代智能变电站变电设备状态监测与评估的大数据预处理方法,最后从建立设备异常知识库和状态评估2个方面展望了大数据在新一代智能变电站变电设备状态监测与评估领域的应用前景。
To improve the accuracy and efficiency of substation equipment condition monitoring assessment in new generation smart substation, this paper studies the data source monitoring system and means in electrical equipment condition monitoring and evaluation. Since a large number of applications of the on-line monitoring equipment can provide data mining analysis with a strong data support, this paper analyzes the data preprocessing method for power equipment state monitoring and assessment of new generation smart substation. Finally, this paper comes up with the prospect for the big data mining application of substation equipment condition monitoring and assessment in new generation smart substation, from the establishment of power equipment malfunction knowledge base and condition assessment.
出处
《电力信息与通信技术》
2016年第8期46-51,共6页
Electric Power Information and Communication Technology
关键词
智能变电站
变电设备
状态监测
状态评估
大数据挖掘
smart substation
substation equipment
condition monitoring
condition assessment
big data mining
