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MONITOR THE ASSETS YOUR SENSORS CANNOT REACH

Cabinet-based condition monitoring

SAM4 reads current and voltage from the motor control cabinet. Mechanical, electrical, and load-side faults turned into evidence-backed maintenance actions. Built for submerged, enclosed, hazardous, remote, and fleet-scale equipment.

7,000+Assets continuously monitored
95.5%Recall on confirmed fault events
2.1%Post-review false-alert rate
ABB
Yorkshire Water
Southern Water
DuPont
DSM
Nyrstar
Schiphol Airport
Pfleiderer
SAPPI
CRITICAL BUT UNMONITORED

The assets that matter most are often the hardest to monitor.

Many of your hardest assets to monitor are also the most critical. Submerged pumps. Enclosed drives. ATEX-zone motors. Rooftop fans. Confined-space equipment.

Mounting sensors on them means shutdowns, scaffolding, specialist access. Manual inspections fill the gap, but only as snapshots: between checks, deterioration develops unnoticed.

At fleet scale, those assets stay effectively unmonitored until performance drops, alarms trigger, or failure occurs.

Find your monitoring gaps

“In the steel industry, assets frequently operate in conditions that are not hospitable to sensitive sensor technologies. The conveyors at our hot strip mill are a critical part of the production process, but it's virtually impossible to use manual or vibration-based techniques to assess their condition.”

Andy RoegisIndustrial Digitalization Manager for Northern Europe, ArcelorMittal
The Technology

Monitor from the cabinet. Not the machine.

Every AC motor is also a sensor. Disturbances anywhere in the motor, drivetrain, or driven asset change how the motor draws current and voltage. The changes are small, but often repeatable. Rotor faults, misalignment, imbalance, bearing degradation, cavitation, and blockage can each leave fingerprints in the electrical signal.

SAM4 captures that signal at the motor control cabinet, analyses the patterns, and detects developing faults early enough for planned action.

Where SAM4 fits. SAM4 is strongest where a fault creates a measurable change in the motor current or voltage signature. The asset fit review tells you where it adds value, and where it does not.

SAM4 process flow in five steps: install at MCC (split-core CTs and voltage taps clip onto existing motor cables in the control cabinet), capture waveform (three-phase current and voltage captured at the MCC and sent over cellular), analyse signatures (physics-first, AI-optimised ESA analyses signals against the asset's baseline and a library of failure fingerprints), engineer review (Samotics reliability engineers validate ambiguous detections and filter noise before alerts reach your team), route to action (validated alerts route to dashboard, email, SAP PM, Maximo, or Infor EAM).

One system: hardware, analytics, and expert review. SAM4 models flag candidate patterns. Samotics reliability engineers review ambiguous detections before they reach your team. Every alert carries the likely fault, severity, supporting evidence, and a recommended action. SAM4 runs standalone or alongside your vibration, SCADA, and maintenance tools. It fills the gap access-dependent systems leave open.

How ESA detects faults   See the SAM4 platform   Meet the monitoring team

Common questions

ESA reads current and voltage waveforms at the motor control cabinet. SAM4 analyses those signals to detect patterns linked to electrical, mechanical, and operational faults across the motor-driven system.

It can also track load, operating behaviour, efficiency losses, and performance drift. No sensors are mounted on the machine.

SAM4 monitors AC-motor-driven assets such as pumps, fans, compressors, conveyors, transmissions, ESPs, mixers, and motors. Suitability depends on motor type, load profile, operating behaviour, drivetrain configuration, and the fault modes you need to detect. That is why we start with an asset fit review.

See the full list.

Installation typically takes under 60 minutes per asset once cabinet access and safe-working approval are in place. Split-core current transformers clip onto existing cables in the motor control cabinet. Voltage connections require a short de-energisation at the cabinet. No field access to the asset is required.

Installation is fast, but useful monitoring depends on asset fit, operating data, correct configuration, and clear success criteria. The asset fit review covers all four before deployment.

ROI depends on asset criticality, failure rate, downtime cost, inspection effort, and deployment scale. The strongest evidence is customer-reported.

Yorkshire Water's internal analysis shows over £10M in benefit across its deployment. DuPont has tracked over $1.1M in value on a single site since its 2024 deployment. ArcelorMittal avoided 31 hours of unplanned downtime across 27 detected failures in one year.

SAM4 integrates through REST API or MQTT. Common integrations include SAP PM, IBM Maximo, and other CMMS platforms. Diagnostic reports can be pushed into your existing work order flow, so teams can act inside the systems they already use.

Vibration monitoring provides strong diagnostics on accessible assets where sensors can be mounted close to the machine. SAM4 uses electrical signature analysis to monitor from the motor control cabinet. That makes it useful for assets where mounted sensors are difficult, unsafe, expensive, or impractical: submerged pumps, enclosed drives, hazardous-zone motors, rooftop fans, and distributed fleets.

The two methods are complementary. SAM4 does not replace vibration everywhere. It fills the monitoring gap where access-dependent methods struggle.

SAM4 scores detections by severity, urgency, and confidence. Ambiguous and edge-case detections are reviewed by Samotics reliability engineers before they reach your team. Post-review false-alert rate is 2.1%. Every customer-facing alert includes a diagnosis, severity assessment, supporting evidence, and a recommended action.

Find the assets your current sensors do not cover.

Start with an asset fit review. We map your rotating fleet, identify monitoring gaps, and show where SAM4 is likely to add value. You get an engineer-to-engineer view of fit, limits, deployment effort, and expected business case.