Leading steel manufacturer NLMK Europe is expanding its program to monitor the health of critical assets after completing a successful pilot with new machine learning technology at its hot strip mill in NLMK La Louvière in Belgium. The company plans to roll out the SAM4 system from Dutch tech company Samotics across its other sites in Europe. Samotics’ technology is based on electrical signature analysis, an approach to condition monitoring that offers unique advantages. The SAM4 system captures electrical data remotely, in the motor control center, so there is no need to install sensors on or even near the equipment.SAM4’s use of ESA technology confers two more benefits for NLMK’s overall asset monitoring strategy. All condition monitoring technologies detect a broad range of mechanical faults; ESA is the only one that can also detect electrical faults, which cause up to 30 percent of equipment failures. It is also the only technology that can report on energy efficiency.NLMK Europe comprises the production companies and service centres of the NLMK Europe Strip Division comprising of NLMK La Louvière, NLMK Strasbourg, NLMK Manage Steel Center and three NLMK Europe Plate production companies NLMK Verona and NLMK Clabecq & NLMK Dansteel. Located in Belgium, NLMK La Louvière focuses on the production of hot- and cold-rolled coils for the automotive, construction, and engineering industries. The site production capacity will be enhanced to 2,200,000 tonnes of hot-rolled steel and 1,500,000 tonnes of pickled steel.Samotics was established in 2015 with the aim of eliminating unplanned downtime and industrial energy waste. An expert team of data scientists, software developers and technical specialists develop AI-driven predictive maintenance solutions for AC motors and rotating equipment.