检索结果-南通市图书馆

Fault detection for centrifugal chillers using a kernel entropy component analysis (KECA) method

Building Simulation 2021年第1期14卷 53-61页

作者： Yudong Xia Qiang Ding Zhao Li Aipeng Jiang School of Automation(School of Artificial Intelligence) Hangzhou Dianzi UniversityHangzhouChina Institute of Refrigeration and Cryogenics Zhejiang UniversityHangzhouChina School of Environment&Architecture University of Shanghai for Science&TechnologyShanghaiChina

Fault detection is beneficial for chiller routine operation management in building automation *** the limitations of traditional principal component analysis(PCA)algorithm for chiller fault detection,a so-called kernel entropy component analysis(KECA)method has been developed and the development results are reported in this *** traditional PCA,in KECA,the feature extraction or dimensionality reduction is implemented in a new space,called kernel feature *** new space is nonlinearly related to the input *** data set in the kernel feature space is projected onto a principal component subspace constructed by the feature space principal axes determined by the maximum Rényi entropy rather than the top *** proposed KECA is more suitable to deal with nonlinear process without Gaussian *** the available experimental data from ASHRAE RP-1043,seven typical chiller faults were tested by the proposed KECA method,and the results were compared to that of *** statistics,i.e.T2 and squared prediction error(SPE),were employed for fault detection *** fault detection results showed that the proposed KECA method had a better performance in terms of a higher detection accuracy in comparison to the traditional *** the seven typical faults,the fault detection ratios were over 55%,even at their corresponding least severity level when using the proposed KECA based chiller fault detection method.

关键词： fault detection kernel entropy component analysis Renyi entropy water chillers

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

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：