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, Md. Yusop, Azdiana, Zainudin, Muhammad Noorazlan Shah, Mohamad Yatim, Norhidayah, Abd. Razak, Norazlina, Abdullah, Md. Pauzi
• Format: Article
• Published: Wydawnictwo SIGMA-NOT 2023
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/106632/; http://dx.doi.org/10.15199/48.2023.09.21
• Institution: Universiti Teknologi Malaysia

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...