Key features for innovation leaders
Use AI to automatically extract meaning from complex raw data
SAM4 uses tried and trusted AI technology to transform complex motor measurements into actionable insights.
Identify sources of energy inefficiency
SAM4 can detect developing faults that cause motors to run less efficiently, motors that need to be rightsized for their processes, and processes that are inefficient by design, helping your plants reduce their energy consumption.
Unrivaled accuracy using machine learning and MCSA
SAM4 uses cutting-edge machine learning technology and motor current signature analysis to detect over 9 out of 10 failures, which is over 20% more accurate than traditional predictive maintenance solutions.
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Preventing downtime at industry leaders worldwide
Hear from ArcelorMittal on how SAM4 predictive maintenance enables the detection of developing asset faults from inside the motor control cabinet.
SAM4 detected 100% of developing faults on a baggage handling system over a 12-month period, eliminating unplanned downtime.
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