INNOVATION-BASED METHODOLOGY FOR HVAC SYSTEM FAULT DETECTION.

P. B. Usoro, I. C. Schick, Shahriar Negahdaripour

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

Although Energy Management and Control Systems (EMCS) have since the early 1970's contributed significantly to the reduction (20-40 percent) of energy use in buildings without sacrificing occupants' comfort, their full capabilities have not been completely realized. This is in part due to their inability to quickly detect and compensate for failures in the Heating, Ventilation and Air Conditioning (HVAC) system. In fact, no matter how good the control scheme for the HVAC system might be, the presence of undetected faults can completely offset any expected savings. This paper presents a methodology for detecting faults in an HVAC system using a nonlinear mathematical model and an extended Kalman filter. The technique was implemented in a computer program and successfully used to detect 'planted' faults in simulations of the air handler unit of an HVAC system. Test results are presented to demonstrate the effectiveness of the methodology.

Original languageEnglish
Pages (from-to)284-289
Number of pages6
JournalJournal of Dynamic Systems, Measurement and Control, Transactions of the ASME
Volume107
Issue number4
StatePublished - Dec 1 1985
Externally publishedYes

Fingerprint

air conditioning
fault detection
ventilation
Fault detection
Air conditioning
Ventilation
Innovation
methodology
Heating
heating
conditioning
Energy management systems
comfort
management systems
Extended Kalman filters
Kalman filters
Power control
Computer program listings
mathematical models
Mathematical models

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Instrumentation

Cite this

INNOVATION-BASED METHODOLOGY FOR HVAC SYSTEM FAULT DETECTION. / Usoro, P. B.; Schick, I. C.; Negahdaripour, Shahriar.

In: Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, Vol. 107, No. 4, 01.12.1985, p. 284-289.

Research output: Contribution to journalArticle

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