Key features for maintenance professionals
Detect over 9 out of 10 failures
SAM4 uses cutting-edge machine learning technology and motor current signature analysis to detect critical asset failures far in advance.
Quick and cheap installation inside MCC
Maintenance teams can install each sensor within 30 minutes.
Failure warnings up to 5 months in advance
Receive fault alerts well in advance of a failure, enabling you to schedule maintenance when it’s convenient for your team.
Automatic failure mode classification
When a failure does occur, SAM4 will tell your maintenance team exactly what’s wrong with the asset, enabling your maintenance team to act as quickly as possible.
Our storiesSee all cases
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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You can also:
- book a demo directly.
- inquire about pricing.
- request technical documentation (such as installation manuals).
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