Mixers, agitators and mills work under changing loads, inside vessels or behind guards, often at low speed. Artesis follows their motors, belts, gearboxes and bearings from the electrical panel — without entering the vessel or stopping the mill.
Agitators sit on top of sealed or hazardous vessels; mills run behind guards in dust and noise. Inspecting them means isolation, confined-space entry or a production stop.
Their load changes with every batch or ore type, so fixed vibration limits are hard to set. Artesis learns each machine’s normal behaviour under its real load range and flags what does not fit — belt, pulley, bearing, rotor or process.
e-MCM or AMTPro uses the existing current and voltage signals, including on medium-voltage mill motors.
Baselines cover the machine’s normal batch or feed variation, so real faults stand out from process swings.
Findings are classified by domain and severity, with the energy effect of each fault.

Transmission-element components during the learning phase: a belt and pulley problem.

The bearing trend rises to its alarm level, then drops after replacement. Select to open full size.
Faults confirmed on site
The belt and pulley were replaced and aligned; the bearing showed wear and scratch marks on the outer ring and balls.
The first findingAlready during the learning phase, Artesis saw a transmission pattern in the spectrum. Maintenance changed the belt and aligned the pulley.
The second findingOver the following months the bearing parameter rose steadily until it reached its alarm level.
The confirmationWhen the bearing was replaced, maintenance found wear and scratch marks on the outer ring and balls. The bearing trend dropped straight after the change.
Source: Artesis mining industry case study. Customer name withheld.

An AMTPro test on a 690 V vertical mill drive running near 90% load flagged bearing and rotor indicators in the caution band. The report put their energy effect at 260,263 kWh per year.

On a 6.3 kV mill motor running at just 173 rpm, the condition report flagged a bearing fault. Its sister motor on the same mill showed only a spectral anomaly to watch.

A crystallizer agitator showed its rotor indicator in the high band and a 5.8% current imbalance. The report advised checking for cracked or loose rotor bars within three months.
A sharp change in the unbalance parameter raised an Examine 1 alarm on a reactor mixer motor. Maintenance confirmed the unbalance and traced it to shaft curvature. The plant estimated that three days of unplanned downtime would have cost about $1.35 million in lost production — around $1.4 million including repairs.
A single AMTPro visit covered a mill motor, two kiln main drives and two kiln fans. All five needed maintenance within 3–6 months; fixing the faults was estimated to save $29,200 a year in energy.
An AMTPro test flagged transmission-element and bearing faults and a 4.6% current imbalance to be watched on a starch mixer drawing about 55 kW.
Cases are individual outcomes from Artesis field deployments between 2012 and 2022. All visuals are from Artesis software. Customer names are withheld.
Evidence strength reflects how reliably a condition produces an observable electrical pattern in typical mixer and mill installations — not a guarantee of detection.
| Condition | What changes in the signal | Evidence | Field case |
|---|---|---|---|
| Drive train · mechanical | |||
| Belt, pulley and transmission | Transmission-element and belt-related indicators | Good | Mining mixer → |
| Bearing wear | Bearing indicator trend | Good | Mining mixer, MV mill motor, mill drive |
| Unbalance, bent shaft | Unbalance-related pattern | Good | Reactor mixer |
| Gearbox and looseness | Transmission and looseness-related patterns | Good | Kiln drives |
| Motor · electrical | |||
| Rotor bars | Rotor-related pattern in the current spectrum | Strong | Agitator, mill drive, rubber mill |
| Stator and insulation | Current imbalance well above voltage imbalance | Strong | Kiln mill motor |
| Supply and connections | Voltage imbalance, harmonics, per-phase RMS | Strong | — |
| Process · load | |||
| Batch or feed change | Load pattern versus learned range | Good | — |
| Energy lost to faults | kWh effect per fault | Strong | Mill drive, MV mill motor |
We state the limits up front, so monitoring is set up where it adds most and paired with the right complementary checks.
Mills with very erratic feed need longer learning before small changes can be judged.
Gradual wear in the vessel may not change load enough to be seen early.
Seal leakage without a load change leaves little electrical trace.
Below about 20 Hz, diagnostic confidence is reduced.
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.
Transmission-element components suggest belt wear, slip or pulley misalignment. Check belt tension and condition and pulley alignment.
After action
Confirm the transmission indicator falls back after the work and watch the bearing trend.
Example wording only; not a live alarm or a reproduced AI report.
No. Everything is measured in the motor control cabinet.
Artesis learns the normal load range first. Findings are judged against that learned behaviour, not a fixed limit.
Yes. The MV mill motor case runs at 173 rpm. Very slow driven-side bearings behind large gear reductions are harder to see than motor-side faults.
Yes, through the existing CT and PT secondaries, as the 6.3 kV mill motor case shows.
Motor nameplate data, drive arrangement (belt, gearbox or direct), typical load range, starter or drive type and the measurement points in the cabinet.
Tell us about your process drives. We’ll help you pick where continuous monitoring pays off.
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