research article
An Integrated Approach to Predictive Maintenance Using Iot and Machine Learning in Manufacturing
Vol. 2 , Issue 2 (2024) · pp. 78-86
Abstract
This article explores the integration of IoT and machine learning for predictive maintenance in manufacturing. The combined approach utilizes real-time data from IoTsensors to feed machine learning algorithms, allowing for proactive equipment maintenance. The benefits include increased reliability, minimized downtime, and improved overall equipment effectiveness. The article discusses key components, presents case studies, and addresses challenges in implementing this transformative strategy, emphasizing its potential to optimize manufacturing operations and enhance competitiveness.
1 views
0 downloads
How to Cite
Cite this article