End-to-End Architecture for Real-Time IoT Analytics and Predictive Maintenance Using Stream Processing and ML Pipelines

End-to-End Architecture for Real-Time IoT Analytics and Predictive Maintenance Using Stream Processing and ML Pipelines

The rapid proliferation of Internet of Things (IoT) devices across industries has created a need for robust, scalable, and real-time data processing architectures capable of supporting intelligent analytics and predictive maintenance. This paper presents a novel comprehensive architecture that enabl...

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Bibliographic Details
Main Authors: Ouiam Khattach, Omar Moussaoui, Mohammed Hassine
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Sensors
Subjects:
predictive maintenance
internet of things
real-time data
machine learning pipeline
Online Access:https://www.mdpi.com/1424-8220/25/9/2945
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