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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
Language:English
Published: Wydawnictwo SIGMA-NOT 2022
Online Access:http://eprints.utem.edu.my/id/eprint/26261/2/PE-NOOR%20ASYIKIN%28PE6462%29-FINAL%20DRAFT-1.PDF
http://eprints.utem.edu.my/id/eprint/26261/
http://pe.org.pl/articles/2022/1/47.pdf
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spelling my.utem.eprints.262612023-05-25T16:00:22Z http://eprints.utem.edu.my/id/eprint/26261/ 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 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 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/26261/2/PE-NOOR%20ASYIKIN%28PE6462%29-FINAL%20DRAFT-1.PDF 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. pp. 217-221. ISSN 0033-2097 http://pe.org.pl/articles/2022/1/47.pdf 10.15199/48.2022.01.47
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
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
spellingShingle 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
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.utem.edu.my/id/eprint/26261/2/PE-NOOR%20ASYIKIN%28PE6462%29-FINAL%20DRAFT-1.PDF
http://eprints.utem.edu.my/id/eprint/26261/
http://pe.org.pl/articles/2022/1/47.pdf
_version_ 1768012366956462080
score 13.160551

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