基于数据挖掘的计量装置在线监测与故障诊断系统设计

Design of online monitoring and fault diagnosis system for metering devices based on data mining

为实现计量装置运行状况的在线监测和故障诊断,文中研究电能计量装置在线监测与故障系统的设计问题。首先分析了故障信息序列中必有或特有的信息,提出了基于特征挖掘的关联规则挖掘改进算法。进一步介绍了在线监测系统架构及软件设计方案及相关功能介绍。通过电能计量装置在线监测与故障系统的实地应用,验证了改进算法可减少无效挖掘,提高计算速率,适用于在线诊断。通过实地应用,证明了该系统异常分析准确度高、实时性强、适用范围广泛,是实现我国智能电网建设的有力工具。

In order to realize online monitoring and fault diagnosis of metering device during its running state, this paper designed the online monitoring and fault diagnosis system of electric energy metering device. At first, the information there must be or specific in fault information sequence was analyzed and a improved method of association rule mining based on feature mining was proposing. Then, the frame of online monitoring system and software design scheme which including function were introduced. Through applying the online monitoring and fault diagnosis system in the field, we verified that the improved method can reduce ineffective mining, having a higher computing rate, and is suitable for online diagnosis. The application approved that this system had high accuracy of anomaly analyzing, strong real-time and wide application range which would be a powerful tool for accomplishing the construction of smart grids in our country.