Fault detection for air conditioning system using machine learning

• Main Authors: Sulaiman, Noor Asyikin, Abdullah, Md. Pauzi, Abdullah, Hayati, Zainudin, Muhammad Noorazlan Shah, Md. Yusop, Azdiana
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/91178/1/MdPauziAbdullah2020_FaultDetectionforAirConditioningSystem.pdf; http://eprints.utm.my/id/eprint/91178/; http://dx.doi.org/10.11591/ijai.v9.i1.pp109-116
• Institution: Universiti Teknologi Malaysia

Air conditioning system is a complex system and consumes the most energy in a building. Any fault in the system operation such as cooling tower fan faulty, compressor failure, and damper stuck, etc. could lead to energy wastage and reduction in the system’s coefficient of performance (COP). Due to t...