Machine Learning Approach for Predictive Maintenance in IoT Systems
Published in: International Journal of Computer Science
> abstract
This paper presents a novel machine learning framework for predictive maintenance in Industrial Internet of Things (IIoT) systems. We propose a hybrid model combining LSTM networks with attention mechanisms to predict equipment failures before they occur, achieving 94% accuracy on real-world industrial datasets.