The Application of Recurrent Neural Networks for the Diagnosis of Industrial Systems

Amri Omar, Belmajdoub Fouad

2021

Abstract

The complexity of industrial equipment is constantly increasing, which makes the task of monitoring more and more complex. In this context, the use of artificial intelligence techniques offers very practical solutions to deal with this task, especially artificial neural networks, because thanks to their learning capacity and their automatic and intelligent algorithms, they can handle perfectly industrial system monitoring problems. In these papers, we are mainly interested in recurrent neural networks, which are a specific kind of artificial neural network, which provides excellent dynamic behaviour. In the literature, several architectures of recurrent neural networks have been proposed and implemented, and each one offers some strengths and weaknesses. Therefore, in the following papers, we present state of the art as well as a comparative study between the most relevant architectures that can be used to ensure the operation of the diagnosis, which is considered a significant phase of industrial system monitoring.

Paper Citation

in Harvard Style

Omar A. and Fouad B. (2021). The Application of Recurrent Neural Networks for the Diagnosis of Industrial Systems. In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML, ISBN 978-989-758-559-3, pages 60-66. DOI: 10.5220/0010728400003101

in Bibtex Style

@conference{bml21,
author={Amri Omar and Belmajdoub Fouad},
title={The Application of Recurrent Neural Networks for the Diagnosis of Industrial Systems},
booktitle={Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,},
year={2021},
pages={60-66},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010728400003101},
isbn={978-989-758-559-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,
TI - The Application of Recurrent Neural Networks for the Diagnosis of Industrial Systems
SN - 978-989-758-559-3
AU - Omar A.
AU - Fouad B.
PY - 2021
SP - 60
EP - 66
DO - 10.5220/0010728400003101