河北科技大学学报2012，Vol.33Issue(6)：501-505,5.
基于信息融合的高压电气设备温变故障诊断方法研究
Diagnosis of temperature variation fault of high voltage electrical equipment based on information fusion technology
摘要
Abstract
High-voltage electrical equipment(HVEE) has the characteristics of high voltage and closure, and works in harsh environments. Raman fiber sensor was used for temperature monitoring. After faults were classified, and several shunt-wound RBF networks were used to local HVEE fault diagnosis, independent evidences were acquired. Then D-S evidence theory fusion algorithms were used to fuse evidences. Accurate diagnosis was achieved finally. The diagnostic tests prove that the system can improve the reliability of the diagnosis and decrease the uncertainty markedly.关键词
高压电气设备/故障诊断/拉曼散射/信息融合/D-S证据理论/RBF神经网络Key words
high voltage electrical equipment/fault diagnosis/ Raman scattering/ information fusion/D-S evidence theory/ RBF neural networks分类
信息技术与安全科学引用本文复制引用
李永伟,韩京津,袁涛,朱婧菲..基于信息融合的高压电气设备温变故障诊断方法研究[J].河北科技大学学报,2012,33(6):501-505,5.基金项目
河北省自然科学基金资助项目(F2009000728) （F2009000728）
