SAM4 Health is an AI-powered real-time condition monitoring system with predictive alerts to know in advance when a machine is unhealthy.
Unplanned downtime as a result of failing AC motors and rotating equipment is hugely expensive. Planning maintenance before something breaks lets you avoid costs of delays, increased overtime expenses and more importantly prevent safety issues for your maintenance colleagues.
SAM4 sensors are easy to install safely inside the motor control cabinet.
Easily monitor assets in submerged areas, ATEX zones or hazardous locations for which no alternative solutions exist.
Detect mechanical and electrical failures across the full transmission path.
Have your maintenance team get alerts about an upcoming fault, the type of fault, and recommended next actions depending on the urgency of the fault.
Maintenance can be as simple as following a traffic light telling you when to take action.
Asset status | Status details | Actions triggered | |
|---|---|---|---|
Green means the asset is
operating as usual. | No anomalies detected and no
significant operational changes. | No action. | |
Yellow means the diagnosed fault
was not confirmed during an initial
maintenance activity. | Anomaly has not been confirmed or
has not been resolved after a
maintenance action. | Email of traffic light
change. | |
Orange means a diagnosed fault
has been detected that requires
action. | A fault has been detected that will
lead to asset failure; it is
recommended to take the approriate
action to prevent failure. | • Email with advice to take
the appropriate action to prevent failure. • Update email shared when relevant. | |
Red means the diagnosed fault
has reached a severity that
requires immediate action. | Asset integrity is at risk, if left
unattended functional failure will
occur. | • Email with advice to
replace asset. • Phone call. |
SAM4 predicts over 90% of upcoming failures weeks to months before they happen, so your maintenance staff can service machines during scheduled downtime windows before they affect production.
SAM4’s accuracy means your machines only require attention when a fault has been detected. You can cut down on redundancy, routine inspections and time-based maintenance, which lowers the cost of labor and safety stock.
SAM4 catches degrading machines early enough to fix them before they can endanger employees or the environment.
SAM4 detects over 90 percent of developing faults up to five months before failure, enabling maintenance teams to cut down on routine inspections and time-based maintenance. Every SAM4 alert includes both a description of the detected fault and recommended actions, so you can plan and conduct your work efficiently.
SAM4 provides features such as a real-time pump performance dashboard that can help you steer pump operation in real time, as well as provide longer-term insights into the pump’s performance and energy use. Regular insight reports help you get the most out of SAM4’s data analysis.
Our online phone-and-tablet-optimized installation tutorial provides clear instructions your team can use to install each sensor in the motor control cabinet within 30 minutes.
SAM4’s sensors don’t need batteries, and since they install in the MCC, not on the machine, SAM4 can reliably monitor equipment that’s underground, underwater, remote, or exposed to chemicals, heat and other harsh conditions.Â
SAM4 uses AI-based electrical signature analysis, which expands the range of assets that can be monitored and the faults that can be detected.
In addition, SAM4’s use of current and voltage directly enables energy and performance insights that go beyond fault detection.
SAM4 provides triple-digit annual ROI and a payback period ranging from two to fourteen months, depending on the industry and scope of the project.
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