A fault diagnosis expert system on building air conditioning system for construction 4.0

Building air conditioning systems are in high demand nowadays. They provide maximum comfort for occupants by reducing indoor temperature and providing acceptable indoor air quality. Air conditioning also comprising of fresh air ventilation for better air quality and ensuring relative humidty in the...

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Main Author:	Tan, Chee Nian
Format:	Thesis
Language:	English English
Published:	2018
Subjects:	T Technology (General) TH Building construction
Online Access:	http://eprints.utem.edu.my/id/eprint/23244/1/A%20Fault%20Diagnosis%20Expert%20System%20On%20Building%20Air%20Conditioning%20System%20For%20Construction%204.0%20-%20Tan%20Chee%20Nian%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/23244/2/A%20fault%20diagnosis%20expert%20system%20on%20building%20air%20conditioning%20system%20for%20construction%204.0.pdf
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id	my-utem-ep.23244
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
topic	T Technology (General) TH Building construction
spellingShingle	T Technology (General) TH Building construction Tan, Chee Nian A fault diagnosis expert system on building air conditioning system for construction 4.0
description	Building air conditioning systems are in high demand nowadays. They provide maximum comfort for occupants by reducing indoor temperature and providing acceptable indoor air quality. Air conditioning also comprising of fresh air ventilation for better air quality and ensuring relative humidty in the building. Building air conditioning sytems rely heavily on technical expertise for service and maintenance which could be costly. The aim of this research project is to develop a prototype knowledge based system for the fault diagnosis of building air conditioning systems. With the developed system, the diagnosis process for building air conditioning systems can be standardised, making them faster and more precise as compared to conventional systems by 566.5%. The developed system is also useful for inexperienced personnel as it can be used as a training module as well. Hence, the development of a fault diagnosis system is a significant contribution in air conditioning service operations. In this research work, the fault diagnosis system was developed by using the Kappa-PC expert system shell. It is supported by object-orientated technology for the MS Windows environment. It uses backward chaining for inferencing. In order to select the faults of the air conditioning components, a few specifications are laid out as constraints. The constraints for this developed expert system are based on the air conditioning system design data and expert’s experience. Two case studies were also conducted to verify the capability of the developed system.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Tan, Chee Nian
author_facet	Tan, Chee Nian
author_sort	Tan, Chee Nian
title	A fault diagnosis expert system on building air conditioning system for construction 4.0
title_short	A fault diagnosis expert system on building air conditioning system for construction 4.0
title_full	A fault diagnosis expert system on building air conditioning system for construction 4.0
title_fullStr	A fault diagnosis expert system on building air conditioning system for construction 4.0
title_full_unstemmed	A fault diagnosis expert system on building air conditioning system for construction 4.0
title_sort	fault diagnosis expert system on building air conditioning system for construction 4.0
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Mechanical Engineering
publishDate	2018
url	http://eprints.utem.edu.my/id/eprint/23244/1/A%20Fault%20Diagnosis%20Expert%20System%20On%20Building%20Air%20Conditioning%20System%20For%20Construction%204.0%20-%20Tan%20Chee%20Nian%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/23244/2/A%20fault%20diagnosis%20expert%20system%20on%20building%20air%20conditioning%20system%20for%20construction%204.0.pdf
_version_	1747834026662559744
spelling	my-utem-ep.232442022-04-20T12:30:43Z A fault diagnosis expert system on building air conditioning system for construction 4.0 2018 Tan, Chee Nian T Technology (General) TH Building construction Building air conditioning systems are in high demand nowadays. They provide maximum comfort for occupants by reducing indoor temperature and providing acceptable indoor air quality. Air conditioning also comprising of fresh air ventilation for better air quality and ensuring relative humidty in the building. Building air conditioning sytems rely heavily on technical expertise for service and maintenance which could be costly. The aim of this research project is to develop a prototype knowledge based system for the fault diagnosis of building air conditioning systems. With the developed system, the diagnosis process for building air conditioning systems can be standardised, making them faster and more precise as compared to conventional systems by 566.5%. The developed system is also useful for inexperienced personnel as it can be used as a training module as well. Hence, the development of a fault diagnosis system is a significant contribution in air conditioning service operations. In this research work, the fault diagnosis system was developed by using the Kappa-PC expert system shell. It is supported by object-orientated technology for the MS Windows environment. It uses backward chaining for inferencing. In order to select the faults of the air conditioning components, a few specifications are laid out as constraints. The constraints for this developed expert system are based on the air conditioning system design data and expert’s experience. Two case studies were also conducted to verify the capability of the developed system. UTeM 2018 Thesis http://eprints.utem.edu.my/id/eprint/23244/ http://eprints.utem.edu.my/id/eprint/23244/1/A%20Fault%20Diagnosis%20Expert%20System%20On%20Building%20Air%20Conditioning%20System%20For%20Construction%204.0%20-%20Tan%20Chee%20Nian%20-%2024%20Pages.pdf text en public http://eprints.utem.edu.my/id/eprint/23244/2/A%20fault%20diagnosis%20expert%20system%20on%20building%20air%20conditioning%20system%20for%20construction%204.0.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=112772 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Mechanical Engineering 1. Adrion, W., Branstad, M. and Cherniavsky. J., 1982. Validation, Verification and Testing of Computer Software. ACM Computing Surveys, 14(2), pp. 159-192. 2. Aktacir, M., Büyükalaca, O. and Yılmaz, T., 2006. Life-cycle cost analysis for constant-air-volume and variable-air-volume air-conditioning systems. Applied Energy, 83(6), pp. 606-627. 3. Al-Ajlan, A., 2015. 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A fault diagnosis expert system on building air conditioning system for construction 4.0

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