With its implementation, the aim is to reduce the amount of preventive maintenance. The idea is to change the part just before it breaks, optimizing and therefore improving any preventive measure.
For this, the current status of the equipment is obtained, taking into account the behavior of some previously identified variables such as temperature, energy consumption, defects in products, etc.
Predictive maintenance is carried out in the middle of a productive task in order to determine the behavior of the variables previously identified. This is supported by the application of mathematical and statistical tools which can provide information about the state of the equipment.
Variations in some of these variables are sometimes symptoms of a malfunction, which will trigger planned maintenance as soon as possible, before the failure or breakdown occurs.

• Decreases preventive maintenance and therefore corrective ones.
• It forces us to master the process and to have technical data, which will commit us to a rigorous and objective scientific method of work.

• Requires an initial investment in the equipment necessary for appropriate measurements.
• Personnel should be assigned for the necessary measurements and readings.
• Requires a staff that is capable of interpreting the data and making appropriate decisions based on it.
• Requires high knowledge for data processing.
• For all these reasons, the implantation of this system is justified in machines or installations where untimely stops cause great losses, where unnecessary stops cause great costs.