Conveners
Predictive Maintenance & Equipment Optimization
- Cristian Viscardi (ECOTRE Valente srl)
Description
6.1.3
To realize efficient and stable operation of a blast furnace, accurate process control through automation is crucial. In this study, we developed an automatic control system for hot metal temperature (HMT). To cope with the slow and complex process dynamics of the blast furnace, we first built a two-dimensional (2D) transient model that can simulate the chemical reactions and the heat transfer...
The digital transformation of industrial steel plants is crucial for optimizing efficiency, enhancing product quality, and ensuring sustainability. By integrating digital technologies, these plants can significantly improve monitoring, control, and predictive maintenance of reheating and treatment furnaces. Traditional systems often lack detailed real-time data and rely on external...
Industrial gearboxes play a crucial role in steel industry plants by providing the required speed and torque for the operation of several machines, thus affecting the efficiency and reliability of various processes. Within this scope predictive maintenance is employed to identify potential issues before they lead to costly downtime or catastrophic failures.
In the field of industrial...
In the era of big data, organizations are increasingly leveraging data lakes to store vast amounts of unstructured and structured data. This paper explores the transformative potential of data lakes in the context of global maintenance services.
By integrating advanced data analysis techniques, we aim to uncover actionable insights that drive service improvements across various locations and...