Steel manufacturing is a high-stakes, asset-intensive industry where unexpected downtime can lead to major production losses and safety risks. This technical paper, Uninterrupted Uptime in Steel Manufacturing, explores how predictive maintenance powered by edge computing can drastically improve equipment reliability and plant performance.

It covers how real-time monitoring through industrial sensors—measuring vibration, temperature, and other key metrics—enables early fault detection. These insights are translated into machine health scores and actionable alerts, giving teams the ability to prevent failures before they occur.

Whether you're managing blast furnaces, rolling mills, or auxiliary systems, this paper outlines a scalable approach to achieving uninterrupted uptime, reducing maintenance costs, and improving operational safety. A must-read for reliability engineers, plant managers, and operations leaders looking to modernize maintenance strategies with minimal disruption.