Be there on time: the latest state of affairs in predictive maintenance

Predictive maintenance has been promising major developments in the field of efficiency and downtime reduction for some time now. With proper implementation, companies can reduce costs and increase efficiency. During the Predictive Maintenance online knowledge days, the latest maintenance strategies, software, technology and tools will be discussed. Registration for this online event is completely free.

By: Dimitri Reijerman

In broad terms, these knowledge days cover four themes: technology, data, analysis and organization/transformation. As a visitor, you will be fully informed within the webinar program.

One of the participating companies is Croonwolter&Dros. Michiel Dondorp and Anish Bisnajak discuss how to effectively deploy a data scientist within the industry. Because such a specialist encounters numerous challenges, such as different corporate cultures, different types of installations and organizational fragmentation within organizations.

Fellow industry player Emseron will discuss a condition monitoring program for vibration detection during the knowledge week. This will allow companies to keep a closer eye on their rotating machinery. Novotek will discuss a use case from England. There, pumps are analyzed in an industrial company based on process data. Can this method predict failures well and in a timely manner?

FHI member Samson discusses the digital revolution in the form of accurate valve diagnosis. Jos Geers from Samson also asks the question: where exactly does the data come from? Erik Daalder from Schneider Electric will tell more about asset performance management in his session “From sensor to boardroom”.

UReason will also be hosting a webinar during these knowledge days and will inform you about 'closing the loop in data-driven maintenance'. Jules Oudmans will outline, among other things, which organizational changes are the result of data-driven maintenance. During his webinar, Diederick Nab from WAGO will look at the possibilities of the cloud with regard to predictive maintenance. Because it can still be a challenge to fully utilize all smart devices, Diederick Nab will tell his audience.

In the webinar “Pump or drown in process data: a structured approach for predictive maintenance” by Kees Lambregts (Novotek), a practical use case at a large water board is discussed. Koen Leeflang and Robert Vincente from Festo tell you more about compressed air and pneumatics, the most reliable and most widely applicable energy and drive sources within a production environment. What maintenance is suitable here and is predictive maintenance appropriate here?

Wiek Wijands from Kensan (on behalf of Weidmüller) will discuss a case concerning a predictive warning system in a wind turbine. The question is: how can you create better process and maintenance management with relatively little data? Eric van Nispen (Wonderware) will give a live demo during his session in which he shows how you can create a system yourself with minimal effort that will warn you in advance of downtime and asset failures. Among other things, he will show how effective downtime registration can be implemented. Finally, Yokogawa will show a use case in which safer access to the correct software repositories is discussed.

Are you interested in one or more of these webinars? Register for free via our website.