Asset type

Fan & blower monitoring

SAM4 monitors ventilation fans, cooling fans, process blowers, and aerators from the motor control cabinet — detecting imbalance, bearing degradation, belt issues, and efficiency loss without accessing the fan or ductwork.

At a glance

Monitoring method
Electrical Signature Analysis (ESA)
Sensor location
Motor control cabinet (MCC)
Voltage range
Low and medium voltage
Drive type
DOL, soft starter, VFD
Fan types
Centrifugal, axial, induced draft, forced draft, aerators
Faults detected
5 fault types
Typical lead time
3–10 weeks before failure

Why monitor fans and blowers

Critical for safety and process — yet often monitored only by manual rounds

Fans and blowers maintain atmospheric conditions in mines, tunnels, and process buildings. They keep furnaces running, aeration systems active, and cooling circuits flowing. When they fail, the consequences range from production loss to safety shutdowns.

€10–80K

typical cost of an unplanned fan failure — including production loss, environmental non-compliance, and emergency repair.

45%

of fan failures are bearing-related and detectable weeks in advance through electrical signature changes.

6–12%

energy savings achievable by identifying fans operating away from their design point.

What SAM4 detects on fans and blowers

Five fault types from one sensor location

Fault type What's happening How SAM4 detects it Typical lead time Confidence
Imbalance Deposit buildup, blade erosion, or foreign object damage causing rotational imbalance 1× running speed component increase in the current spectrum 3–10 weeks Full
Bearing degradation Inner/outer race defects, rolling element wear, lubrication breakdown Characteristic bearing fault frequencies in the motor current spectrum 4–12 weeks Full
Belt wear V-belt stretching, misalignment, or slippage on belt-driven fans Belt frequency harmonics and slip ratio changes in the electrical signature 2–6 weeks Full
Process deviations Abnormal airflow, damper issues, or system resistance changes Load signature deviations from established operating baseline Days–weeks Partial
Efficiency loss Fan operating below design efficiency due to wear, fouling, or system changes Power consumption deviation tracked against baseline at equivalent conditions Continuous Full

Detection capability depends on drive topology, sampling rate, load variation, and operating conditions. See ESA detection constraints.

Installation on fans and blowers

30 minutes. No access to the fan or ductwork required.

1

Open the motor control cabinet

SAM4 installs at the MCC — the same panel your electricians already access. No confined space entry, no scaffolding, no process shutdown.

2

Clip sensor onto motor supply cables

Current and voltage sensors clip directly onto the existing cabling. No wiring changes. No interruption to the asset's operation.

3

Connect and commission

The SAM4 gateway connects via cellular (4G/LTE) — no dependency on your IT network. Monitoring starts immediately. First diagnostic results within 48 hours.

Energy monitoring

Not just fault detection. Energy optimisation too.

Fans and blowers account for a significant share of energy consumption in process industries. SAM4 tracks power consumption against airflow conditions — identifying fans running below design efficiency due to wear, fouling, or system resistance changes.

6–12% energy savings achievable by identifying and correcting fan efficiency losses
20% of industrial motor energy is consumed by fan and blower systems

Power baseline tracking

SAM4 establishes a power consumption baseline for each fan and tracks deviations — flagging efficiency degradation caused by wear, fouling, or system changes.

Operating point monitoring

Continuous tracking of where the fan operates relative to its design point. Identifies fans running at suboptimal speeds or against incorrect system resistance.

Degradation-linked energy loss

Links efficiency losses to specific mechanical fault signatures — providing data to justify maintenance actions that recover energy performance.

See SAM4 monitoring fans and blowers

A 30-minute demo shows SAM4 running on fans and blowers like yours — with real fault data, real diagnostics, and real energy insights.

See how SAM4 monitors the assets your sensors can't reach.

Request a Demo