摘要
研究了油浸绝缘电气主设备状态量发展趋势预测模型。提出了基于信息熵的组合预测方法,针对预测结果的应用问题,提出了区别变压器故障与工况改变的预测应用方法。同时针对现场了解到的实际生产问题,有针对性地展开了研究,提出了相应的解决方法。
This paper introduces research on development trend prediction model of state quantities of oil-impregnated insulated main electrical equipment, and proposes an integrated prediction method based on information entropy and a prediction application method capable of distinguishing transformer faults from condition changes. Meanwhile, this paper also proposes corresponding solutions to actual production issues on site through targeted research.
出处
《水电站机电技术》
2018年第3期26-30,57,共6页
Mechanical & Electrical Technique of Hydropower Station
关键词
信息熵
组合预测
油浸绝缘
Information entropy
Integrated prediction
Oil-impregnated insulation
