Cover Image

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

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...

Full description

Saved in:
Bibliographic Details
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
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utem.eprints.27119
record_format eprints
spelling my.utem.eprints.271192024-06-19T16:15:43Z http://eprints.utem.edu.my/id/eprint/27119/ Fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network Sulaiman, Noor Asyikin Sabal Menanti, Nur Amalina Abd Razak, Norazlina Zainudin, Muhammad Noorazlan Shah Norhidayah, Mohamad Yatim Md Yusop, Azdiana Abdullah, Md Pauzi 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. Wydawnictwo SIGMA-NOT 2023 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/27119/2/0104616102023.PDF Sulaiman, Noor Asyikin and Sabal Menanti, Nur Amalina and Abd Razak, Norazlina and Zainudin, Muhammad Noorazlan Shah and Norhidayah, Mohamad Yatim and Md Yusop, Azdiana and Abdullah, Md Pauzi (2023) Fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network. Przeglad Elektrotechniczny, 9. pp. 113-117. ISSN 0033-2097 http://www.pe.org.pl/articles/2023/9/21.pdf 10.15199/48.2023.09.21
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description 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.
format Article
author Sulaiman, Noor Asyikin
Sabal Menanti, Nur Amalina
Abd Razak, Norazlina
Zainudin, Muhammad Noorazlan Shah
Norhidayah, Mohamad Yatim
Md Yusop, Azdiana
Abdullah, Md Pauzi
spellingShingle Sulaiman, Noor Asyikin
Sabal Menanti, Nur Amalina
Abd Razak, Norazlina
Zainudin, Muhammad Noorazlan Shah
Norhidayah, Mohamad Yatim
Md Yusop, Azdiana
Abdullah, Md Pauzi
Fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network
author_facet Sulaiman, Noor Asyikin
Sabal Menanti, Nur Amalina
Abd Razak, Norazlina
Zainudin, Muhammad Noorazlan Shah
Norhidayah, Mohamad Yatim
Md Yusop, Azdiana
Abdullah, Md Pauzi
author_sort Sulaiman, Noor Asyikin
title Fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network
title_short Fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network
title_full Fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network
title_fullStr Fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network
title_full_unstemmed Fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network
title_sort fault detection and diagnosis of air-conditioning system using long short-term memory recurrent neural network
publisher Wydawnictwo SIGMA-NOT
publishDate 2023
url 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
_version_ 1802981604874780672
score 13.159004

Similar Items