检索结果-南通市图书馆

检索条件"主题词=Mahalanobis Metric Learning"

共 1 条记录，以下是1-10 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

A Fault Detection Method with mahalanobis metric learning Based on Diffusion Maps

A Fault Detection Method with Mahalanobis Metric Learning Ba...

引用

第37届中国控制会议

作者： Wenzhi Ma Jinxue Xu Yuan Li College of Marine Electrical Engineering Dalian Maritime University College of Information Engineering Shenyang University of Chemical Technology

In the process of industrial production, the occurrence of equipment failures is inevitable. If failure cannot be detected and eliminated in time and accurately, it can cause serious consequences. As diffusion mapping can keep manifold structure between data, it can be used to reduce the dimension of data. The diffusion distance is robust to noise as it is an average over all paths connecting two points. In view of the non-linear characteristics of the chemical process data and the noise interference in the process of data acquisition, diffusion mapping is investigated. The Gaussian kernel function is used in the diffusion maps to measure the similarity between the sample points. In order to measure the similarity between samples accurately, a metric learning method based on mahalanobis distance is proposed. The goal of the algorithm is to learn a mahalanobis matrix such that the distances of the point pairs with the same type are as small as possible, while those with the different type are as large as possible. Then a more accurate weight matrix is obtained to improve fault detection. Since SVM has the good generalization performance, and is specially good for treating the data of some nonlinearity. Finally SVM is adopted to fault identification. TE process data is used to verify the validity of the method, and the result shows that the new algorithm makes different type samples separated, and can improve the level of fault detection.

关键词： Faulty Detection Diffusion Maps mahalanobis metric learning

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

全选清除本页清除全部题录导出标记到“检索档案”

共1页 << < 1 > >>

回到顶部

执行限定条件

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：