Predictive Maintenance for a more optimized and less expensive mining operation
The hostile environment and complex operation of mining industries are major drivers of the main problems faced by the sector: unplanned equipment downtime and high operational maintenance costs. Because of this, the recent technological advances have begun to deliver more precise solutions to the challenge of keeping up with the industry's demand for its products while seeking to reduce unnecessary expenses in the operation. In this context, the predictive maintenance process will be presented and deepened in order to understand how it can be the solution to increase the efficiency and profitability of mining industries by facilitating data management [...]
Predictive maintenance to manage corrosion and reduce failure on Steel Industries
The hostile environment of steel industries is a major driver of the main problems faced by the industry: corrosion and low efficiency in the maintenance of structures and equipment. Knowing this, it is necessary to understand how to adapt the operation and data analysis processes to ensure that the value drawn from them is greater than the consequences generated by the environment. In this context, the predictive maintenance process will be presented and deepened in order to understand how it can be the solution to increase the efficiency and profitability of steel industries by facilitating the management of corrosion [...]
