Unbalance, misalignment, bearing wear and loose foundations all change the current a fan motor draws. Artesis follows those changes from the electrical panel — no sensors on the fan, the duct or the platform.
Process, ID and exhaust fans keep gases and air moving through kilns, dryers, ovens and extraction systems. When one trips, the process behind it stops too.
Dust, heat, height and enclosed housings make route-based inspection slow and infrequent. Because the fan is mechanically coupled to its motor, developing faults show up as small, characteristic changes in motor current — continuously visible from the MCC.
e-MCM uses the existing three-phase current and voltage signals. No vibration sensors on the fan, no cabling on platforms.
Electrical Signature Analysis and machine learning build a baseline for each motor–fan set under its real load.
Deviations are grouped as electrical, mechanical or load-related and explained with maintenance guidance.

Unbalance/misalignment and transmission indicators in the caution band.

Unbalance and bearing-related peaks above the learned envelope. Select to open full size.
Lower reported vibration
6 mm/s → 3 mm/s after the motor-to-fan coupling alignment was corrected.
The findingArtesis flagged elevated unbalance/misalignment and transmission indicators on a medium-voltage cement plant fan.
The interventionThe customer found poor alignment between the motor and the fan coupling and corrected it.
The verificationReported vibration fell from 6 mm/s to 3 mm/s after the correction — an independent check of the maintenance result.
Source: Artesis Case Study 2024, slides 18–20. The 50% reduction is calculated from the reported values. Customer name withheld.

The spectrum showed transmission and bearing components above the learned envelope. The electrical report added that the motor ran below 60% load, so a smaller motor would save energy.

One AMTPro test flagged looseness, transmission-element and bearing faults, and estimated their combined energy effect. Correcting them was worth up to 63,613 kWh per year.

On a mould cooling fan the bearing parameter crossed its alarm level. A motor bearing fault was found; the spare motor took over, and after repair the parameter returned to its learned level.

The loose component parameter crept over its alarm level, then jumped five days later. Maintenance found loose bearing housing screws and tightened them.
A transmission fault alarm led engineers to the trend data, which pointed to a loose belt. Maintenance confirmed it — belt slip also wastes energy.
A sudden rise in the bearing parameter triggered an alarm e-mail. The front motor bearing was running hot; after lubrication the parameter fell back.
Cases are individual outcomes from Artesis field deployments between 2005 and 2024. All visuals are from Artesis software. Customer names are withheld.
Evidence strength reflects how reliably a condition produces an observable electrical pattern in typical industrial fan installations — not a guarantee of detection.
| Condition | What changes in the signal | Evidence | Field case |
|---|---|---|---|
| Drive train · mechanical | |||
| Unbalance | Unbalance-related pattern | Good | Cement fan → |
| Misalignment and coupling | Alignment-related pattern | Good | Cement fan → |
| Bearing wear | Bearing-related pattern in the current spectrum | Good | ID fan, mould cooling fan |
| Belt and transmission | Belt and pulley-related pattern | Good | ID fan, spray booth fan |
| Looseness and foundation | Looseness-related pattern | Good | Mould cooling fan, exhaust fan |
| Motor · electrical | |||
| Rotor bars | Rotor-related pattern in the current spectrum | Strong | — |
| Stator and insulation | Current imbalance well above voltage imbalance | Strong | — |
| Supply and connections | Voltage imbalance, harmonics, per-phase RMS | Strong | — |
| Load · process and energy | |||
| Airflow restriction, damper changes | Load level and stability versus learned baseline | Good | See AHU page |
| Oversized motor, wasted energy | Load below ~60% of rating; kWh effect per fault | Strong | ID fan, exhaust fan |
We state the limits up front, so monitoring is set up where it adds most and paired with the right complementary checks.
Below about 20 Hz on a VFD, signatures can fall under reliable thresholds.
Early blade damage may not change load or balance enough to be seen.
Structural vibration not transmitted to the motor load is outside ESA’s view.
For fine bearing assessment, a portable vibration check adds sensitivity — without permanent sensors.
Observed patterns are interpreted by qualified personnel; they guide investigation rather than replace it. AMTPro spot tests need near-constant speed (±1% frequency) during capture.
Artesis Insight turns spectra and trends into plain-language explanations and next steps. Your team does not need to be an ESA specialist to act on a result.
Elevated misalignment indicators warrant checking alignment between motor and fan, together with coupling condition and mounting integrity.
After action
Compare condition trends under similar speed and load, and verify with an appropriate field measurement.
Example wording only; not a live alarm or a reproduced AI report.
No. Current and voltage are measured at the electrical panel, so nothing is fitted to the fan. Installation is planned electrical work inside the cabinet by qualified personnel.
Yes. The cement case on this page runs at 5.5 kV. The e-MCM configuration and the available CT/PT secondary signals are reviewed for each application.
Yes. Belt wear, slip and pulley misalignment produce a characteristic pattern in the spectrum, as the ID fan and spray booth cases show.
Yes. e-MCM supports VFD applications. The baseline is best established at a fixed speed first; diagnostic confidence is reduced below roughly 20 Hz.
Motor nameplate data, fan type, typical operating current, drive arrangement (direct, coupling or belt) and the measurement points available in the cabinet.
Tell us about your fan application. We’ll help you identify a suitable monitoring setup.
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Artesis introduces an advanced Predictive Maintenance (PdM) solution tailored for the automotive industry. Our system, Artesis e-MCM, is designed for simplicity, requiring minimal installation efforts and offering low start-up costs. With no need for sensor installation on equipment and the ability to function in non-EX areas, Artesis e-MCM is an ideal solution for inaccessible automotive equipment.
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Knowing how rotating equipment is performing, predicting failures, improving asset utilization, and finding productivity enhancements in challenging environments are particular challenge for Oil & Gas companies. Artesis helps oil and gas companies predict their rotating equipment failures and prevents the unplanned downtime where the cost of downtime is extremely high. When oil and gas operations break down, it can have a significant domino effect on energy supply – making predictive maintenance technology a key ally for companies in the sector.
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