Parameter selection in data-driven fault detection and diagnosis of the air conditioning system

Parameter selection in data-driven fault detection and diagnosis of the air conditioning system

Data-driven fault detection and diagnosis system (FDD) has been proven as simple yet powerful to identify soft and abrupt faults in the air conditioning system, leading to energy saving. However, the challenge is to obtain reliable operation data from the actual building. Therefore, a lab-scaled cen...

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Main Authors: Sulaiman, Noor Asyikin (Author), Abdullah, Md Pauzi (Author), Abdullah, Hayati (Author), Zainudin, Muhammad Noorazlan Shah (Author), Yusop, Azdiana Md (Author), Sulaiman, Siti Fatimah (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2022-01-01.
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