Predictive and prescriptive maintenance: just do it

With the sharply rising costs for maintenance, energy and downtime, it is highly desirable to have a good strategy for predictive and prescriptive maintenance. Good maintenance is also of great importance for managing safety risks and achieving sustainability objectives. ReliaSol and SAMSON Regeltechniek indicate in their presentations how such processes can be set up with a data and AI-driven approach.

Predictive and prescriptive maintenance strategies are increasingly emerging. Existing data is used, but a lot of extra, often diagnostic, data must also be generated by extra sensors. Making this data accessible also requires infrastructure that is not always present. This can often become expensive and confusing. Especially if many different assets from various suppliers are available.

To what extent do the investments outweigh the expected result? And are there other possibilities? The presentation of SAMSON Control Technology addresses these dilemmas and shows that a good picture of the objectives is necessary in order to make the right choices.

Ferdinand Verstraeten of ReliaSol indicates in his lecture how Predictive Maintenance is an important pillar in the optimization of the production process. This enables companies to stay one step ahead of the competition or to stay one step ahead. The current landscape is shown using smart techniques, Artificial Intelligence and practical examples. The AI-driven approach is more accessible than one might think at the moment.

As an industrial end user, OEM or system integrator, you can register free of charge for a visit via this link.