ShareApplication of classification functions to chiller fault detection and diagnosis.
Author(s) : STYLIANOU M.
Summary
The paper describes the application of a statistical pattern recognition algorithm to fault detection and diagnosis of commercial reciprocating chillers. The developed fault detection and diagnosis module has been trained to recognize five distinct conditions, namely, normal operation, refrigerant leak, restriction in the liquid refrigerant line, and restrictions in the water circuits of the evaporator and condenser. The algorithm used in the development is described, and the results of its application to an experimental test bench are discussed.
Details
- Original title: Application of classification functions to chiller fault detection and diagnosis.
- Record ID : 1998-1589
- Languages: English
- Source: ASHRAE Transactions.
- Publication date: 1997
- Document available for consultation in the library of the IIR headquarters only.
Links
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Indexing
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Themes:
Compression systems;
Other air-conditioning equipment;
Chillers - Keywords: Operation; Design; Chiller; Anomaly; Detection; Reciprocating compressor
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Performance evaluation of a reciprocating chill...
- Author(s) : CASTRO N. S.
- Date : 2002/01/12
- Languages : English
- Source: ASHRAE Transactions. 2002 Winter Meeting, Atlantic City, New Jersey. Volume 108, part 1 + CD-ROM.
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The sensitivity of chiller performance to commo...
- Author(s) : COMSTOCK M. C., BRAUN J. E., GROLL E. A.
- Date : 2001/07
- Languages : English
- Source: HVAC&R Research - vol. 7 - n. 3
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A statistical, rule-based fault detection and d...
- Author(s) : ROSSI T. M., BRAUN J. E.
- Date : 1997/01
- Languages : English
- Source: HVAC&R Research - vol. 3 - n. 1
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Fault detection and diagnosis in chillers. Mode...
- Author(s) : MCINTOSH I. B. D., MITCHELL J. W., BECKMAN W. A.
- Date : 2000/06/24
- Languages : English
- Source: ASHRAE Transactions. 2000 ASHRAE Annual Meeting, Minneapolis, Minnesota + CD-ROM.
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A robust fault detection and diagnosis strategy...
- Author(s) : WANG S., CUI J.
- Date : 2006/07
- Languages : English
- Source: HVAC&R Research - vol. 12 - n. 3
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