Eaton motor analytics helps predict motor and pump issues up to 30% earlier and 25% more accurately than currently available sensing solutions.
Intelligent power management company Eaton has introduced a new motor analytics software solution designed to help mining, oil and gas, manufacturing, and other industrial applications detect critical equipment issues sooner and more accurately than existing solutions – without installing additional sensors or hardware directly on the motor. By providing a comprehensive view of motor and pump health and performance, the predictive maintenance innovation empowers facility management teams to make smarter and more cost-effective maintenance decisions that drive uptime and energy efficiency.
The Eaton motor analytics utilises motor current signature analysis (MCSA) and machine learning to predict the most common motor and pump problems months in advance. This predictive insight enables maintenance teams to prioritise interventions, minimise unplanned downtime and reduce operational risk. The solution also helps identify inefficient motors to prioritise maintenance efforts for optimised energy consumption and improved system performance.
“Electric motors are the heartbeat of mission-critical operations across nearly every industry, powering everything from pumps and compressors to conveyors and fans,” said Kevin Olikara, product and portfolio software manager at Eaton. “Our latest predictive maintenance innovation gives maintenance teams the actionable insights needed to help reduce unplanned downtime and energy waste while extending equipment life.”
Available as an add-on for any Eaton Brightlayer software for industrial customers, motor analytics features pre-built analytics and inferential sensing that can deliver valuable operational insights within hours. Compared to traditional sensor-based solutions, the Eaton approach requires less frequent maintenance and generates fewer false alarms.
