Fault Detection and Diagnosis of Air-Conditioning System using Long Short-Term Memory Recurrent Neural Network

Noor Asyikin Sulaiman, Nur Amalina Sabal Menanti,Azdiana Md Yusop,Muhammad Noorazlan Shah Zainudin, Norhidayah Mohamad Yatim, Norazlina Abd Razak,Md Pauzi Abdullah

PRZEGLAD ELEKTROTECHNICZNY（2023）

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摘要

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 conditioning system were used in the developed model. Results showed that the classifier model demonstrated a classification accuracy of over 99.3% for all six classes.

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关键词

chilled water system,fault detection and diagnosis,LTSM-RNN

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