摘要
引入一种新的故障诊断和预测方法——指定元分析法(DCA),即先建立DCA多故障诊断理论的空间投影框架,从而把异常检测和诊断问题转换为将观测数据向故障子空间投影后投影能量的显著性检测问题。在确定系统存在异常的情况下,再将观测数据向故障子空间中各故障模式方向分别进行投影,根据投影能量的显著性进行故障的识别和多故障的诊断。给出了接地网故障诊断的实例研究,其仿真计算和诊断结果验证了新方法的有效性。
This paper introduced designated component analysis（DCA） to implement multiple fauhs diagnosis and prediction in grounding grids based on data-driven technique. It established a projection frame, which was the theory foundation for DCA based on muhiple faults diagnosis. Under the DCA projection frame, anomaly detection and fault diagnosis problem was transformed into the signifcance detection problem for projection energy of the observation data which was projected to fault subspace spanned by fault patterns defined in advance under condition that the system was abnormal, it could identify faults diagnosis according to the significance detection problem for projection energy. It provided a case study of the diagnosis in grounding grids, and simulation results shows that the efficiency of the DCA method for multiple faults diagnosis.
出处
《计算机应用研究》
CSCD
北大核心
2012年第8期2970-2972,共3页
Application Research of Computers
基金
国家自然科学基金资助项目(60673084
60973032
61173108)
湖南省自然科学基金资助项目(10JJ2045)
湖南省学位与研究生教育教改项目(JG2011C004)
关键词
接地网
多故障诊断
指定元分析
故障模式
投影框架
grounding grid
multiple faults diagnosis
DCA （ designated component analysis）
fault patterns
projection frame
