电力系统及其自动化学报2017，Vol.29Issue(12)：8-13,6.DOI:10.3969/j.issn.1003-8930.2017.12.002
基于信息熵与证据融合的接地网故障诊断
Fault Diagnosis of Grounding Grids Based on Information Entropy and Evidence Fusion
摘要
Abstract
In order to improve the accuracy of fault diagnosis of grounding grids,a fault diagnosis method for grounding grids is proposed based on information entropy and evidence fusion.In this method,the voltage signals at touchable nodes can be obtained under high-frequency excitation.According to the information entropy theory,the time domain characteristic singular spectrum entropy,frequency domain characteristic power spectrum entropy and time-frequency domain characteristic wavelet packet energy spectrum entropy are extracted respectively,which are further taken as evi-dence body.Multi-feature information fusion is carried out by using evidence theory,then the fusion result is input to a radial basis function(RBF)neural network improved by an error correction algorithm to implement the fault identifica-tion of grounding grids.Simulation results show that compared with the diagnosis results obtained by a single feature, the reliability and accuracy of fault diagnosis by using the proposed method is better.关键词
接地网/故障诊断/信息熵/证据理论/信息融合/神经网络Key words
grounding grid/fault diagnosis/information entropy/evidence theory/information fusion/neural network分类
信息技术与安全科学引用本文复制引用
晏娟,彭敏放,沈美娥,丁亮,吴辉..基于信息熵与证据融合的接地网故障诊断[J].电力系统及其自动化学报,2017,29(12):8-13,6.基金项目
国家自然科学基金资助项目(61173108,61472128) （61173108,61472128）
湖南省自然科学基金重点资助项目(14JJ2150) （14JJ2150）
