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All Journal International Journal of Electrical Engineering, Mathematics and Computer Science
Bagus Setyo
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Computer Science & IT Engineering Mathematics

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A Deep Learning Approach to Fault Detection in Industrial IoT Networks Alfina Herawati; Bagus Setyo
International Journal of Electrical Engineering, Mathematics and Computer Science Vol. 1 No. 2 (2024): June : International Journal of Electrical Engineering, Mathematics and Compute
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijeemcs.v1i2.74

Abstract

Industrial IoT (IIoT) networks, critical for automation and smart manufacturing, are susceptible to faults due to their complexity and the large number of connected devices. This paper introduces a deep learning-based approach for early fault detection in IIoT networks. By leveraging recurrent neural networks (RNNs) and convolutional neural networks (CNNs), the system effectively identifies anomalies in real-time, helping to reduce system downtime and enhance operational efficiency in industrial settings.
Co-Authors Alfina Herawati