Cookies
This site uses cookies to provide you with a better browsing experience. Find out more about our cookie policy and how to change the setting on your browser.
  +32 2 772 8900

 

Please wait...

Call for Predictive Maintenance Solutions

Is your startup working on predictive maintenance solutions? 
If so, this call for projects should be of interest to you!

EBN member Paul Wurth InCub has been investigating the Predictive Maintenance domain as this area will represent a double digit billion market in a near future. In fact, predictive maintenance allows to determine the condition of in-service equipment in order to predict when maintenance should be performed. The benefits of this approach against routine and time-based preventive maintenance is that it drastically reduces costs. 

Paul Wurth InCub has been diving into the technologies that are designed for predictive maintenance, and is calling startups working  in new and disruptive fields to submit their applications. Some of the main domains of interests are:

  • Vibration analysis 
  • Sensors & Monitoring 
  • Big Data / IoT 
  • Machine learning (ML) / deep learning (DL) 
  • Predictive analytics 
  • Spare parts management 

APPLY BY OCTOBER 30

Please submit your application describing your technology value proposition by October 30 2017. The team will then review your application and be in touch if they feel you’re on to something promising! If so, you will be invited for an interview with the selection jury in Luxembourg. 
 

You will get the opportunity to develop your business by a startup-corporate collaboration with Paul Wurth S.A. and their #InduTech members. During the incubation period in InCub, you will get supported by experts. For more information please visit www.indu.tech

Associated member: Paul Wurth InCub
Published on 02-10-2017 00:00 by Lana Blagojevic. 9164 page views

Back to News list
EU|BIC Impact Report
Our Next Events
Our Magazine
Our Network
Sector Specialisation

Vertical Sectors

Cross-cutting Themes

read more...

 Recent Tweets