Maintworld 4/2019
Machine Learning – Not a Gold-Plated Silver-Bullet Solution to Operational Woes // A Data-Driven Approach to Online Monitoring of Roller Bearings // Using Ultrasound to Enhance Energy Efficiency
Machine Learning – Not a Gold-Plated Silver-Bullet Solution to Operational Woes // A Data-Driven Approach to Online Monitoring of Roller Bearings // Using Ultrasound to Enhance Energy Efficiency
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with the outflow of pensionable employees. The message is<br />
therefore to work more efficiently. And digitisation is one<br />
of the ways to achieve this. In addition, we naturally want to<br />
keep up with the changes in society. New technologies, such<br />
as artificial intelligence and IOT, will determine the future.<br />
This also applies to the railways, and therefore also to Infrabel,<br />
which is responsible for the maintenance, renewal and<br />
expansion of the infrastructure. However, we are happy to<br />
go down this road. In the field of maintenance in particular,<br />
unprecedented opportunities are opening up. Measuring is<br />
knowing. Digitisation and new technologies allow for better<br />
planning and more efficient execution.<br />
Faster and safer<br />
A good example of this can be found in the ‘Prodigis’ project.<br />
In short, it concerns an optimisation process to secure<br />
the tracks for maintenance work.<br />
This is a complex and highly regulated process, Sandrine<br />
Rauwoens explains.<br />
Several procedures must be followed, each with different<br />
parties. The procedures vary according to the location<br />
and the work to be carried out. Until ‘Prodigis’, everything<br />
was done with paper forms and telephone communication,<br />
so that securing the tracks could take up to several hours.<br />
Prodigis’ is a textbook example of digitisation. We replaced<br />
a 100 percent paper-driven process with a 100 percent<br />
digital process in which process optimisation and userfriendliness<br />
are the main idea. Because the administrative<br />
part has been completely removed, we save a lot of time and