Predictive Maintenance 4.0
Companies in Belgium, Germany and the Netherlands already see the potential of Predictive Maintenance 4.0 (PdM 4.0) to improve current maintenance practices, with one in three expecting to be using it within five years.
Machine learning and predictive analytics - the main technologies that enable predictive maintenance – are seeing increased interest in both the press and Google Trend data.
Businesses are recognising PdM 4.0 as the way of the future and increased automation is on the horizon for most. We looked at PdM 4.0 implementation in three countries, and Belgium emerged as a clear leader.
Following our Industry 4.0 survey in Flanders called "Industry 4.0 - Hype or Reality", PwC and Mainnovation surveyed 280 businesses in Belgium, The Netherlands and Germany, to find out where they stand with PdM 4.0.
Overall, 11% of the companies surveyed have implemented PdM 4.0.
With 23%, Belgium came out way ahead among the countries surveyed, while half of the respondents plan to implement it in the future.
% of PdM 4.0 implementation
Primary goal for adoption of PdM 4.0
Infrabel, the company responsible for the entire Belgian rail infrastructure, responded to growing maintenance needs by investing heavily in automation. It has developed sophisticated monitoring tools, including cameras, meters, sensors and more. These tools generate large volumes of data, which prompted the creation of a centralised Data Cell to collect and analyse the information.
By making these preparations, Infrabel is well positioned for the large scale application of data analytics in maintenance.
It is expected to make further progress in automation, contributing to what Infrabel describes as “a complete transformation of Infrabel into a digital enterprise in which ‘basic’ assets are replaced by smart assets that are integrated in an Internet of Things. This transformation enables Infrabel to become increasingly data-driven in its decision making.”