Nexa Vazante, located in the state of Minas Gerais, in Brazil, is a leading player in the mining sector and one of the world’s largest zinc producers. It also stands out for its excellence in online predictive maintenance, using WEGscan and WEG Motion Fleet Management (MFM) for continuous asset monitoring.

During continuous monitoring at the plant, WEGscan sensors installed on the flotation agitator bearing emitted global band alarms, indicating increased vibration. After a detailed system analysis and on-site inspection, it was identified that the bearing mounting bolts were loose, leading to low structural rigidity.

With a swift intervention by the maintenance team, the bolts were properly tightened, and the equipment returned to normal operating conditions. This predictive action prevented significant damage, such as bearing failure, exciter shaft collapse, and a potential sector shutdown, which could have resulted in high costs for the company, including agitator replacement and downtime-related losses.

"The partnership with WEG in implementing and using MFM has been a real breakthrough in managing our assets. With the system, we receive data much faster, which has made a significant difference in our operations. Moreover, the diagnostic tools and alarms provided by MFM have enabled quick and accurate problem identification, allowing for more effective preventive and corrective actions. This combination of fast data access and advanced features has improved the reliability of our processes, enabling a more strategic and proactive approach to asset management", emphasizes Arley Campelo Nunes, Predictive Maintenance Specialist at Nexa.

The WEG Motion Fleet Management solution has been crucial for maintenance decision-making, leading to cost reductions and increased productivity.

About WEG Motion Fleet Management (MFM)

WEG Motion Fleet Management (MFM) is an integrated industrial asset management solution, combining over 60 years of expertise in manufacturing electric motors and other industrial equipment with cutting-edge technology. Consisting of software and hardware, the solution uses advanced predictive algorithms and IoT (Internet of Things) technology to monitor assets in real time.