Skip to the main content

ArcelorMittal

ArcelorMittal is the world's leading
steel and mining company.

Guided by a philosophy to produce safe, sustainable steel, ArcelorMittal is the leading supplier of quality steel products in all major markets including automotive, construction, household appliances and packaging. The company is present in 60 countries and has an industrial footprint in 18.

The challenge

ArcelorMittal’s rotating assets often operate in harsh environments. The rollers, loopers and coilers at the company’s hot strip mill in Ghent, Belgium move plates of sizzling hot steel along the production process. In conditions like these, traditional proximity-based technologies like vibration and acoustic analysis fail: the sensors can’t handle the high temperatures.

The solution

ArcelorMittal is at the forefront of digitalization in the steel industry, so the company was looking for a smart Industry 4.0 solution that harnesses the power of artificial intelligence (AI) and the industrial internet of things (IIoT) to generate data-driven insights. ArcelorMittal found what it was looking for in Semiotic Labs’ SAM4 predictive maintenance system.

The setup

EQUIPMENT                 PROCESS               LOCATION
56 rollers           Hot strip mill       Ghent (BE)

SAM4's results

ALL-TIME FAULT
DETECTION RATE

93%


Other highlights

12-MONTH
FAILURES DETECTED

27

12-MONTH
DETECTION RATE

100%

12-MO REDUCTION IN
UNPLANNED DOWNTIME

31.25 h

“Thanks to SAM4, we can monitor assets that
would otherwise remain unreachable.”

avatar Andy Roegis, Industrial Digitalization Manager, Europe North

Sensors that won't get damaged or destroyed.


In the steel industry, assets frequently operate in conditions that are not hospitable to sensitive sensor technologies. Instead of needing to be placed on the asset in the field, SAM4 installs inside the motor control cabinet, out of harm’s
way.

avatar
Andy Roegis
Industrial Digitalization Manager, Europe North

Market-leading detection accuracy.


We are detecting in advance, and sometimes up to four months, potential failures.

avatar
Carlos Alba
Chief Digital Officer, Global R&D

Real-time performance & energy metrics.


We were looking for a real-time solution that could give us long-term insight into our conveyors’ health, performance and energy consumption. SAM4’s advanced analytics are just what we need.

avatar
Andy Roegis
Industrial Digitalization Manager, Europe North

“We are very satisfied with the results.”

avatar Carlos Alba, Chief Digital Officer, Global R&D

Curious to learn how you can increase reliability?