Dynamic model-based fault detection and diagnosis residual considerations for vapor compression systems

Michael C. Keir, Andrew G Alleyne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a first look at the dynamic impact of faults on vapor compression systems. Low-order control-oriented dynamic models of subcritical vapor compression cycles are used to develop sensitivity tools that enhance the residual design procedure of dynamic model-based fault detection and diagnosis algorithms. Also, experimental results are presented that confirm the sensitive outputs usefulness in an FDD algorithm. The enhanced fault information carried in the more sensitive signals of a vapor compression system will allow soft faults to be detected earlier, preventing damage to critical system components.

Original languageEnglish (US)
Title of host publicationProceedings of the 2006 American Control Conference
Pages4412-4417
Number of pages6
Volume2006
StatePublished - 2006
Event2006 American Control Conference - Minneapolis, MN, United States
Duration: Jun 14 2006Jun 16 2006

Other

Other2006 American Control Conference
CountryUnited States
CityMinneapolis, MN
Period6/14/066/16/06

ASJC Scopus subject areas

  • Control and Systems Engineering

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