Electric Motor Condition Monitoring Without Stopping Production
Artesis technologies for monitoring electric motors, generators and rotating equipment without installing external sensors
Sensorless Electric Motor Monitoring
Motor electrical signature analysis technology tracks equipment condition without vibration sensors: the system analyzes voltage and current to detect mechanical and electrical defects. Artesis's solution is built on technology rooted in NASA research and more than 35 years of R&D.
Detectable Defects
- Rotor imbalance and misalignment
- Bearing wear (roller/ball)
- Mechanical looseness
- Winding looseness and short circuits
- Rotor defects (broken bars)
- Cavitation, clogging, overload
Advantages
- No external sensors
- Fast installation — 1–2 hours
- Ideal for hazardous areas
- AI detection with a digital twin
- Power and energy efficiency analysis
- Cloud analytics and trending
Online Monitoring
Continuous 24/7 monitoring of critical equipment
Artesis e-MCM — Online Sensorless Motor Monitoring
Online sensorless electric motor monitoring with AI and digital twin
- Online, continuous 24/7
- 2500 Hz
Artesis e-PCM — Generator and Wind Turbine Monitoring
Sensorless monitoring of generators and their prime movers
- Online monitoring
- Generators, wind turbines
Portable Solutions
Periodic monitoring and diagnostics
Cloud Platforms
Centralized data management and analytics
Applications
Motor monitoring is used across key industries in Kazakhstan
Mining
Jaw crushers, mills, conveyors, slurry pumps
Manufacturing
Main drives, fans, pumps, conveyors
Power and Wind Generation
Wind turbines, main bearings, generator monitoring
Utilities
Water supply pumps, ventilation, wastewater treatment
Oil, Gas and Chemicals
Pumps, compressors, induced-draft fans, blowers
Metallurgy
Rolling mill motors, furnace fans
Electric motor monitoring articles
All Artesis articles →
A Piece of Wood Far Below Ground: How Artesis e-MCM Found a Submersible Pump Fault From the Control Panel
Artesis case: an e-MCM unit in the control panel of a 3.3 kV deep well pump flagged unbalance and looseness. The SCADA vibration sensor confirmed 4.54 mm/s rms, and when the pump was pulled, a piece of wood was found jammed in the impeller.
Predictive Maintenance for Airports: Monitoring BHS, HVAC and Escalators from the MCC
How to monitor an airport's critical electric drives without installing sensors on every mechanism: Artesis electrical signature analysis from the motor control center.
Why Artesis Omnisight Is a Revolutionary Solution for Predictive Maintenance
Most condition monitoring programs split assets into "critical" and "everything else" with incompatible tools and no shared data model. Artesis Omnisight collapses that split at the signal level — here is how and why it works.
Predictive Maintenance Cuts Equipment Failures by 73%. That Is Not Marketing — It Is Data
Fixed maintenance calendars do not stop unplanned downtime: up to 15% of MRO effort is spent on unnecessary work. Sensor-driven predictive maintenance cuts downtime by 30–50% and equipment-related incidents by 40% — on mining, oil & gas and power sites in Kazakhstan and the CIS with Artesis, SDT and Rapidox.
5 typical motor faults: how ESA finds them in 7 minutes
Unbalance, bearings, looseness, winding and rotor faults — how Artesis AMT Pro and e-MCM detect each of the five from the current signature, with no sensors on the machine.
ESA, MCSA and vibration analysis: what to choose for CHP auxiliary equipment
A comparison of three predictive diagnostic methods for power block pumps, fans and conveyors: when Artesis ESA is enough, when you need Bently Nevada vibration, and how MCSA differs from full ESA.
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