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

• Main Authors: Sulaiman, Noor Asyikin, Md Yusop, Azdiana, Zainudin, Muhammad Noorazlan Shah, Sulaiman, Siti Fatimah, Abdullah, Md Pauzi, Abdullah, Hayati
• Format: Article
• Language: English
• Published: Institute Of Advanced Engineering And Science (IAES) 2022
• Online Access: http://eprints.utem.edu.my/id/eprint/26263/2/IJEECS-NOOR%20ASYIKIN-FINAL.PDF; http://eprints.utem.edu.my/id/eprint/26263/; https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25767/15852

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