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
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Official URL: http://dx.doi.org/10.15199/48.2022.01.47
Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | air conditioning system, decision tree, diagnosis, fault detection |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering - School of Electrical |
| ID Code: | 103892 |
| Deposited By: | Yanti Mohd Shah |
| Deposited On: | 04 Dec 2023 06:18 |
| Last Modified: | 04 Dec 2023 06:18 |
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