基本信息:
- 专利标题： 一种基于协方差矩阵范数逼近的多重故障重构方法
- 专利标题（英）：Multiple fault reconstruction method based on covariance matrix norm approximation
- 申请号：CN201310662933.2 申请日：2013-12-09
- 公开(公告)号：CN103646013A 公开(公告)日：2014-03-19
- 发明人： 周东华 , 宁超 , 陈茂银
- 申请人： 清华大学
- 申请人地址： 北京市海淀区100084信箱82分箱清华大学专利办公室
- 专利权人： 清华大学
- 当前专利权人： 清华大学
- 当前专利权人地址： 北京市海淀区100084信箱82分箱清华大学专利办公室
- 代理机构： 北京聿宏知识产权代理有限公司
- 代理人： 吴大建; 刘华联
- 主分类号： G06F17/16
- IPC分类号： G06F17/16 ; G06F11/00
The invention discloses a multiple fault reconstruction method based on a covariance matrix norm approximation. The method comprises the step of collecting a normal data set and a fault data set, the step of utilizing singular value decomposition for calculating the direction matrix of an additive fault based on the normal data set and the fault data set, the step of utilizing the covariance matrix norm approximation to calculate a gain reduction matrix based on the normal data set and the fault data set, and the step of calculating fault reconstruction data according to the direction matrix of the additive fault and the gain reduction matrix to detect and analyze the equipment fault. The method can extract the direction of the additive fault more accurately, effectively reduce the error of fault reconstruction, describe the fault more comprehensively and accurately, and meanwhile obtain gain reduction information.
公开/授权文献:
- CN103646013B 一种基于协方差矩阵范数逼近的多重故障重构方法 公开/授权日：2017-01-18