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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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INDUSTRY EVENT<br />

Asset Performance 4.0:<br />

New Technologies<br />

Bring New Solutions<br />

Maintenance is teamwork - always and everywhere – and because of this, Bemas<br />

no longer considered it opportune to honour a single maintenance manager. That is<br />

why the emphasis this year was on ‘projects’.<br />

THE BRAND NEW ‘Asset Performance Awards’ were awarded to<br />

interesting maintenance initiatives in three categories. It is no<br />

surprise that ‘4.0’ was an important topic. After all, the global<br />

evolution towards digitisation, Industry 4.0 and new technologies<br />

open the doors to solutions that the maintenance world<br />

has never thought possible. –<br />

ArcelorMittal took home the Asset Performance 4.0 Award.<br />

We embraced technological evolution from the outset, says<br />

Andy Roegis, manager of industrial digitalization. The potential<br />

for production as well as quality, maintenance and logistics<br />

became clear fairly quickly.<br />

Certainly, for our division, numerous new possibilities are<br />

opening that allow us to carry out maintenance in a more focused<br />

and efficient way, maintenance engineer Pieter Van den<br />

Branden continues.<br />

The achilles heel of production<br />

At ArcelorMittal, the digital transformation revolves around,<br />

among other things, increasing production reliability. The top<br />

priority was the hot strip mill in the Ghent plant, a machine<br />

that fulfils a crucial role.<br />

It rolls slabs of steel of 23 cm to slabs of 1.5 mm thickness,<br />

which are then transported to the rewinding zone via a conveyor<br />

belt. There they are wound up into steel coils, says Pieter<br />

Van den Branden.<br />

Unfortunately, the hot strip mill is the Achilles heel of the<br />

production. This sub-installation has 340 AC motors, each of<br />

which controls a transport roller. And that’s where things often<br />

go wrong: failures in the motor or the universal joint regularly<br />

cause an unforeseen machine standstill. This causes the entire<br />

production to come to a standstill. In addition, the plates are<br />

often scratched and have passed over a defective transport<br />

roller. In short, there is both a downtime and a quality cost!<br />

Bringing together data sources<br />

A logical answer to this problem was predictive maintenance. Yet<br />

for years it proved impossible to put this idea into practice.<br />

Ordinary periodic vibration measurements did not provide<br />

enough data to define specific maintenance actions. In the<br />

end, we resorted to current and voltage measurements. In addition,<br />

we opened up the digitisation register further with the<br />

intelligent (self-learning) SAM4 software from SemioticLabs.<br />

This solution detects anomalies and generates warnings, even<br />

weeks before the breakdown will occur. And our efforts are<br />

paying off, because in the meantime the availability of the<br />

roller has increased considerably, said Andy Roegis.<br />

It is important to note that all monitoring systems are integrated,<br />

Pieter Van den Branden continues.<br />

The data from the ERP system are used to optimise the<br />

planning of the maintenance teams. Conversely, the SAM4<br />

software returns all data from monitoring and maintenance to<br />

the ERP system. This is not so much about big data, but rather<br />

about bringing together different data sources. In order to gain<br />

additional knowledge to plan maintenance even better, he adds<br />

Unseen opportunities<br />

For Infrabel, the manager of the Belgian railway infrastructure<br />

who also competed for the Award, Industry 4.0 is a strategic<br />

necessity.<br />

Although we are very active on the labour market, we have<br />

been faced with a shrinking workforce for several years now,<br />

project manager Sandrine Rauwoens states.<br />

The influx of technically trained people is too small to cope<br />

20 maintworld 4/<strong>2019</strong>

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