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Predictive maintenance for maintenance professionals

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  • Deploy your scarce maintenance resources to assets that actually need help. SAM4 enables maintenance teams to perform maintenance only when a developing fault is detected.
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  • Act faster using real-time fault diagnosis. Once a fault is detected, SAM4 can also identify the specific fault at play. This means the maintenance team can get right to the source of the problem without having to thoroughly inspect the entire asset.
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  • Succeed where previous pilots with predictive maintenance failed. SAM4 is up to 20% more accurate than traditional vibration-based systems, and is also faster and cheaper to install and maintain.

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.

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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 stories

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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.

Schiphol Airport

SAM4 detected 100% of developing faults on a baggage handling system over a 12-month period, eliminating unplanned downtime.


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