Enhancing electrical panel anomaly detection for predictive maintenance with machine learning and IoT

Enhancing electrical panel anomaly detection for predictive maintenance with machine learning and IoT

This study aims to detect electrical panel fires using the Internet of Things (IoT) framework and Machine Learning (ML) algorithms. Within the scope of the study, an experimental process was carried out using Arduino and Raspberry Pi platforms to collect essential data such as gas, temperature, and...

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Bibliographic Details
Main Authors: Muhammed Fatih Pekşen, Ulaş Yurtsever, Yılmaz Uyaroğlu
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Alexandria Engineering Journal
Subjects:
Artificial intelligence
Machine learning
IoT
Fire
Predictive maintenance
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016824003594

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http://www.sciencedirect.com/science/article/pii/S1110016824003594

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