Integrating Machine Learning for Predictive Maintenance on Resource-Constrained PLCs: A Feasibility Study

Integrating Machine Learning for Predictive Maintenance on Resource-Constrained PLCs: A Feasibility Study

This study investigates the potential of deploying a neural network model on an advanced programmable logic controller (PLC), specifically the Finder Opta™, for real-time inference within the predictive maintenance framework. In the context of Industry 4.0, edge computing aims to process data direct...

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Bibliographic Details
Main Authors: Riccardo Mennilli, Luigi Mazza, Andrea Mura
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
PLC
Arduino board
industrial automation
edge computing
machine learning
predictive maintenance
Online Access:https://www.mdpi.com/1424-8220/25/2/537
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