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.
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August 2003
Technical Papers
Automated Fault Detection and Diagnostics for Vapor Compression Cooling Equipment
James E. Braun
James E. Braun
Ray W. Herrick Laboratories, School of Mechanical Engineering, Purdue University, W. Lafayette, IN 47907
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James E. Braun
Ray W. Herrick Laboratories, School of Mechanical Engineering, Purdue University, W. Lafayette, IN 47907
Contributed by the Solar Energy Division of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS for publication in the ASME JOURNAL OF SOLAR ENERGY ENGINEERING. Manuscript received by the ASME Solar Energy Division, December 2002; final revision, March 2003. Associate Editor: A Reddy.
J. Sol. Energy Eng. Aug 2003, 125(3): 266-274 (9 pages)
Published Online: August 4, 2003
Article history
Received:
December 1, 2002
Revised:
March 1, 2003
Online:
August 4, 2003
Citation
Braun, J. E. (August 4, 2003). "Automated Fault Detection and Diagnostics for Vapor Compression Cooling Equipment ." ASME. J. Sol. Energy Eng. August 2003; 125(3): 266–274. https://doi.org/10.1115/1.1591001
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