基于局部放电监测的变压器故障诊断系统研究

在分析局部放电的监测和故障诊断研究现状的基础上，针对所存在的问题，提出了基于局部放电监测的变压器分层故障诊断系统，该系统充分利用局部放电电声联合检测获得的在线监测数据、油中溶解气体分析结果以及停电试验数据、SCADA数据、设备故障及检修记录等信息，将径向基人工神经网络（RBF）技术与黑板型专家系统结合起来，对故障的类型、性质、危害程度以及定位进行逐步深入的分析，并根据诊断结果提出相应的检修策略。最后根据系统的设计思想给出实现方案。

Study on Transformer Fault Diagnosis System Based on Partial Discharge Monitoring

Based on the analysis of on - line partial discharge monitoring and fault diagnosis methods for transformer, a distributed fault diagnosis system based on partial discharge monitoring is proposed. It makes the best of the information such as on - line monitoring data, all sorts of electric tests, analysis results of dissolved gas - in - oil, outage test data, SCADA data, operation status and expert experience, and it combines the RBF artificial neural network with blackboard model expert system which makes the deep anal- ysis of the type, properly and harm degree of the fault and provides the overhaul strategy based on diagnosis results. At last the way of realization is described.