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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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 |
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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 |
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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 |
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