Fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network

• Main Authors: Sulaiman, Noor Asyikin, Sabal Menanti, Nur Amalina, Abd Razak, Norazlina, Zainudin, Muhammad Noorazlan Shah, Norhidayah, Mohamad Yatim, Md Yusop, Azdiana, Abdullah, Md Pauzi
• Format: Article
• Language: English
• Published: Wydawnictwo SIGMA-NOT 2023
• Online Access: http://eprints.utem.edu.my/id/eprint/27119/2/0104616102023.PDF; http://eprints.utem.edu.my/id/eprint/27119/; http://www.pe.org.pl/articles/2023/9/21.pdf

In this project, a fault detection and diagnosis (FDD) system was developed using Long Short-Term Memory Recurrent Neural Network (LSTM RNN), to detect and classify six common faults in a centralised chilled water air conditioning system. Datasets from a lab-scale centralised chilled water air condi...