Staff View: Data-driven fault detection and diagnosis for centralised chilled water air conditioning system

Data-driven fault detection and diagnosis for centralised chilled water air conditioning system

The air conditioning system is complex and consumes the most energy in the building. Due to its complexity, it is difficult to identify faults in the system immediately. In this project, fault detection and diagnosis system using decision tree classifier model was developed to detect and diagnose fa...

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Main Authors:	Sulaiman, Noor Asyikin, Chuink, Kai Wern, Zainudin, Muhammad Noorazlan Shah, Md. Yusop, Azdiana, Sulaiman, Siti Fatimah, Abdullah, Md. Pauzi
Format:	Article
Published:	Wydawnictwo SIGMA-NOT 2022
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/103892/ http://dx.doi.org/10.15199/48.2022.01.47
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id	my.utm.103892
record_format	eprints
spelling	my.utm.1038922023-12-04T06:18:44Z http://eprints.utm.my/103892/ Data-driven fault detection and diagnosis for centralised chilled water air conditioning system Sulaiman, Noor Asyikin Chuink, Kai Wern Zainudin, Muhammad Noorazlan Shah Md. Yusop, Azdiana Sulaiman, Siti Fatimah Abdullah, Md. Pauzi TK Electrical engineering. Electronics Nuclear engineering The air conditioning system is complex and consumes the most energy in the building. Due to its complexity, it is difficult to identify faults in the system immediately. In this project, fault detection and diagnosis system using decision tree classifier model was developed to detect and diagnose faults in a chilled water air conditioning system. The developed model successfully classified normal condition and five common faults for more than 99% accuracy and precision. A graphical user interface of the system was also developed to ease the users. Wydawnictwo SIGMA-NOT 2022-01 Article PeerReviewed Sulaiman, Noor Asyikin and Chuink, Kai Wern and Zainudin, Muhammad Noorazlan Shah and Md. Yusop, Azdiana and Sulaiman, Siti Fatimah and Abdullah, Md. Pauzi (2022) Data-driven fault detection and diagnosis for centralised chilled water air conditioning system. Przeglad Elektrotechniczny, 1 (1). pp. 217-221. ISSN 0033-2097 http://dx.doi.org/10.15199/48.2022.01.47 DOI:10.15199/48.2022.01.47
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Sulaiman, Noor Asyikin Chuink, Kai Wern Zainudin, Muhammad Noorazlan Shah Md. Yusop, Azdiana Sulaiman, Siti Fatimah Abdullah, Md. Pauzi Data-driven fault detection and diagnosis for centralised chilled water air conditioning system
description	The air conditioning system is complex and consumes the most energy in the building. Due to its complexity, it is difficult to identify faults in the system immediately. In this project, fault detection and diagnosis system using decision tree classifier model was developed to detect and diagnose faults in a chilled water air conditioning system. The developed model successfully classified normal condition and five common faults for more than 99% accuracy and precision. A graphical user interface of the system was also developed to ease the users.
format	Article
author	Sulaiman, Noor Asyikin Chuink, Kai Wern Zainudin, Muhammad Noorazlan Shah Md. Yusop, Azdiana Sulaiman, Siti Fatimah Abdullah, Md. Pauzi
author_facet	Sulaiman, Noor Asyikin Chuink, Kai Wern Zainudin, Muhammad Noorazlan Shah Md. Yusop, Azdiana Sulaiman, Siti Fatimah Abdullah, Md. Pauzi
author_sort	Sulaiman, Noor Asyikin
title	Data-driven fault detection and diagnosis for centralised chilled water air conditioning system
title_short	Data-driven fault detection and diagnosis for centralised chilled water air conditioning system
title_full	Data-driven fault detection and diagnosis for centralised chilled water air conditioning system
title_fullStr	Data-driven fault detection and diagnosis for centralised chilled water air conditioning system
title_full_unstemmed	Data-driven fault detection and diagnosis for centralised chilled water air conditioning system
title_sort	data-driven fault detection and diagnosis for centralised chilled water air conditioning system
publisher	Wydawnictwo SIGMA-NOT
publishDate	2022
url	http://eprints.utm.my/103892/ http://dx.doi.org/10.15199/48.2022.01.47
_version_	1784511517976166400
score	13.160551

Data-driven fault detection and diagnosis for centralised chilled water air conditioning system

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