Comprehensive analysis for air supply fan faults based on HVAC mathematical model

Dehestani, D; Madadnia, J; Koosha, H; Eftekhari, F

Comprehensive analysis for air supply fan faults based on HVAC mathematical model

Dehestani, D Madadnia, J Koosha, H Eftekhari, F

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Publication Type:: Journal Article
Citation:: Advanced Materials Research, 2012, 452-453 pp. 460 - 468
Issue Date:: 2012-02-23

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Field	Value	Language
dc.contributor.author	Dehestani, D	en_US
dc.contributor.author	Madadnia, J	en_US
dc.contributor.author	Koosha, H	en_US
dc.contributor.author	Eftekhari, F	en_US
dc.date.issued	2012-02-23	en_US
dc.identifier.citation	Advanced Materials Research, 2012, 452-453 pp. 460 - 468	en_US
dc.identifier.isbn	9783037853511	en_US
dc.identifier.issn	1022-6680	en_US
dc.identifier.uri	http://hdl.handle.net/10453/31291
dc.description.abstract	Due to the growing demand on high efficient heat ventilation and air conditioning (HVAC) systems, how to improve the efficiency of HVAC system regarding reduces energy consumption of system has become one of the critical issues. Reports indicate that efficiency and availability are heavily dependent upon high reliability and maintainability. Recently, the concept of e-maintenance has been introduced to reduce the cost of maintenance. In e-maintenance systems, the fault detection and isolation (FDI) system plays a crucial role for identifying failures. Finding healthy HVAC source as the reference for health monitoring is the main aim in this area. To dispel this concern a comprehensive transient model of heat ventilation and air conditioning (HVAC) systems is developed in this study. The transient model equations can be solved efficiently using MATLAB coding and simulation technique. Our proposed model is validated against real HVAC system regarding different parts of HVAC. The developed model in this study can be used for a pre tuning of control system and put to good use for fault detection and isolation in order to accomplish high-quality health monitoring and result in energy saving. Fan supply consider as faulty device of HVAC system with six fault type. A sensitivity analysis based on evaluated model shows us three features are sensitive to all faults type and three auxiliary features are sensitive to some faults. The magnitude and trait of features are a good potential for automatic fault tolerant system based on machine learning systems. © (2012) Trans Tech Publications.	en_US
dc.relation.ispartof	Advanced Materials Research	en_US
dc.relation.isbasedon	10.4028/www.scientific.net/AMR.452-453.460	en_US
dc.title	Comprehensive analysis for air supply fan faults based on HVAC mathematical model	en_US
dc.type	Journal Article
utslib.citation.volume	452-453	en_US
utslib.for	0915 Interdisciplinary Engineering	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	452-453	en_US

Abstract:

Due to the growing demand on high efficient heat ventilation and air conditioning (HVAC) systems, how to improve the efficiency of HVAC system regarding reduces energy consumption of system has become one of the critical issues. Reports indicate that efficiency and availability are heavily dependent upon high reliability and maintainability. Recently, the concept of e-maintenance has been introduced to reduce the cost of maintenance. In e-maintenance systems, the fault detection and isolation (FDI) system plays a crucial role for identifying failures. Finding healthy HVAC source as the reference for health monitoring is the main aim in this area. To dispel this concern a comprehensive transient model of heat ventilation and air conditioning (HVAC) systems is developed in this study. The transient model equations can be solved efficiently using MATLAB coding and simulation technique. Our proposed model is validated against real HVAC system regarding different parts of HVAC. The developed model in this study can be used for a pre tuning of control system and put to good use for fault detection and isolation in order to accomplish high-quality health monitoring and result in energy saving. Fan supply consider as faulty device of HVAC system with six fault type. A sensitivity analysis based on evaluated model shows us three features are sensitive to all faults type and three auxiliary features are sensitive to some faults. The magnitude and trait of features are a good potential for automatic fault tolerant system based on machine learning systems. © (2012) Trans Tech Publications.

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http://hdl.handle.net/10453/31291