Fuzzy-genetic algorithm for automatic fault detection in HVAC systems

C. H. Lo; P. T. Chan; Y. K. Wong; A. B. Rad; K. L. Cheung

doi:10.1016/j.asoc.2006.06.003

Fuzzy-genetic algorithm for automatic fault detection in HVAC systems

C. H. Lo, P. T. Chan, Y. K. Wong, A. B. Rad, K. L. Cheung

Division of Science, Engineering and Health Studies (SEHS)

Research output: Contribution to journal › Article › peer-review

60 Citations (Scopus)

Abstract

Detecting fault before it deteriorates the system performance is crucial for the reliability and safety of many engineering systems. This paper develops an intelligent technique based on fuzzy-genetic algorithm (FGA) for automatically detecting faults on HVAC system. Many researchers have proposed only using fuzzy systems to effect fault detection and diagnosis. Other applications of the FGA are mainly focused on the synthesis of fuzzy control rules. The proposed automatic fault detection system (AFD) monitors the HVAC system states continuously by fuzzy system. The optimization capability of genetic algorithms allows the generation of optimal fuzzy rules. Faults are represented as different fault levels in the AFD system and are distinguished by fuzzy system after tuning its rule table. Simulation studies are conducted to verify the proposed AFD system for the single zone air handler system.

Original language	English
Pages (from-to)	554-560
Number of pages	7
Journal	Applied Soft Computing Journal
Volume	7
Issue number	2
DOIs	https://doi.org/10.1016/j.asoc.2006.06.003
Publication status	Published - Mar 2007

Keywords

Air-conditioning systems
Fault detection
Fuzzy logic
Genetic algorithms

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10.1016/j.asoc.2006.06.003

Cite this

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title = "Fuzzy-genetic algorithm for automatic fault detection in HVAC systems",

abstract = "Detecting fault before it deteriorates the system performance is crucial for the reliability and safety of many engineering systems. This paper develops an intelligent technique based on fuzzy-genetic algorithm (FGA) for automatically detecting faults on HVAC system. Many researchers have proposed only using fuzzy systems to effect fault detection and diagnosis. Other applications of the FGA are mainly focused on the synthesis of fuzzy control rules. The proposed automatic fault detection system (AFD) monitors the HVAC system states continuously by fuzzy system. The optimization capability of genetic algorithms allows the generation of optimal fuzzy rules. Faults are represented as different fault levels in the AFD system and are distinguished by fuzzy system after tuning its rule table. Simulation studies are conducted to verify the proposed AFD system for the single zone air handler system.",

keywords = "Air-conditioning systems, Fault detection, Fuzzy logic, Genetic algorithms",

author = "Lo, {C. H.} and Chan, {P. T.} and Wong, {Y. K.} and Rad, {A. B.} and Cheung, {K. L.}",

note = "Funding Information: The authors gratefully acknowledge the financial support from the Hong Kong Polytechnic University through grant G-V872.",

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AU - Lo, C. H.

AU - Chan, P. T.

AU - Wong, Y. K.

AU - Rad, A. B.

AU - Cheung, K. L.

N1 - Funding Information: The authors gratefully acknowledge the financial support from the Hong Kong Polytechnic University through grant G-V872.

PY - 2007/3

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AB - Detecting fault before it deteriorates the system performance is crucial for the reliability and safety of many engineering systems. This paper develops an intelligent technique based on fuzzy-genetic algorithm (FGA) for automatically detecting faults on HVAC system. Many researchers have proposed only using fuzzy systems to effect fault detection and diagnosis. Other applications of the FGA are mainly focused on the synthesis of fuzzy control rules. The proposed automatic fault detection system (AFD) monitors the HVAC system states continuously by fuzzy system. The optimization capability of genetic algorithms allows the generation of optimal fuzzy rules. Faults are represented as different fault levels in the AFD system and are distinguished by fuzzy system after tuning its rule table. Simulation studies are conducted to verify the proposed AFD system for the single zone air handler system.

KW - Air-conditioning systems

KW - Fault detection

KW - Fuzzy logic

KW - Genetic algorithms

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Fuzzy-genetic algorithm for automatic fault detection in HVAC systems

Abstract

Keywords

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