Automated Fault Detection and Diagnostics for Vapor Compression Cooling Equipment-Reference-Cited by-同舟云学术

Automated Fault Detection and Diagnostics for Vapor Compression Cooling Equipment

Published:2003-08-01 Issue:3 Volume:125 Page:266-274
ISSN:0199-6231
Container-title:Journal of Solar Energy Engineering
language:en
Short-container-title:

Author:

Braun James E.¹

Affiliation:

1. Ray W. Herrick Laboratories, School of Mechanical Engineering, Purdue University, W. Lafayette, IN 47907

Abstract

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 HVAC&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.

Publisher

ASME International

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Link

http://asmedigitalcollection.asme.org/solarenergyengineering/article-pdf/125/3/266/5651671/266_1.pdf

Reference30 articles.

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