Automated fault detection and diagnostics for vapor compression cooling equipment

被引:38
作者
Braun, JE [1 ]
机构
[1] Purdue Univ, Sch Mech Engn, Ray W Herrick Labs, W Lafayette, IN 47907 USA
来源
JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME | 2003年 / 125卷 / 03期
关键词
D O I
10.1115/1.1591001
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper provides an overview of research related to automated fault detection and diagnosis for chillers, packaged air conditioners, and other vapor compression cooling equipment. The paper discusses the benefits, constraints, and possible products for FDD applied in the HVA C&R industry, presents results of fault surveys for packaged air conditioners and chillers, outlines the general structure and elements of an FDD system for HVAC&R equipment, describes specific methods associated with different FDD elements, and presents results from some specific case studies. The paper also attempts to provide an assessment of the state-of-the-art in FDD for vapor compression equipment and to identify the steps necessary to achieve widespread application.
引用
收藏
页码:266 / 274
页数:9
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