ArtesisModel: e-MCM

Artesis e-MCM — Online Sensorless Motor Monitoring

Online sensorless electric motor monitoring with AI and digital twin

Artesis e-MCM — Online Sensorless Motor Monitoring — Artesis
Artesis e-MCM — Online Sensorless Motor Monitoring

Поставка в Казахстане

KEG TRK поставляет решения для мониторинга электродвигателей (Artesis) по всему Казахстану: Алматы, Астана, Караганда, Усть-Каменогорск, Актобе и другие регионы. Официальная гарантия, проектирование систем мониторинга, монтаж, пусконаладка и обучение персонала.

Key features

Monitoring without external sensors
AI fault detection with digital twin
Fault detection up to 6 months before failure
Database of 10+ million fault signatures
Mechanical, electrical and process fault coverage
Pump performance monitoring
Energy efficiency and cost analysis
Flexible deployment: on-premise or cloud

Отраслевые решения, лендинги и статьи по Artesis e-MCM — Online Sensorless Motor Monitoring

Typical tasks

  • AC electric motors
  • Pump sets
  • Fans and ID/FD fans
  • Compressors
  • Conveyors
  • Crushers and mills

Description

Artesis e-MCM (Electronic Motor Condition Monitoring) is a revolutionary online motor monitoring system that works without external vibration sensors. It uses patented machine-learning algorithms and a database of more than 10 million fault signatures to detect mechanical, electrical and process problems up to 6 months before failure.

Built on NASA heritage technology with 35+ years of R&D and 25 years of field deployment, e-MCM delivers reliable, advanced condition monitoring for critical drives across mining, metals, power and process industry.

Key features

Sensorless monitoring

  • Electrical connection only — voltage and current at the motor supply
  • No machine-mounted sensors — uses the motor terminal box
  • Fast installation — typically 1–2 hours per motor
  • Ideal for hazardous areas — no sensor maintenance on the machine
  • Any motor size and voltage

AI diagnostics

  • 10+ million signature database
  • Automatic fault classification with severity scoring
  • Digital twin — self-learning equipment model
  • Time-to-failure estimation
  • Low false-alarm rate — recognises different operating modes

Fault coverage

Mechanical

  • Loose foundation, imbalance, misalignment
  • Belt and pulley issues, gearbox defects
  • Bearing wear, impeller and fan blade problems
  • 50+ additional mechanical fault types

Electrical

  • Stator and rotor defects
  • Winding insulation issues
  • Power quality, phase asymmetry, harmonics

Process

  • Pump cavitation and clogging
  • Overload, low efficiency, plugged filters, flow turbulence

Pump performance monitoring

  • Flow and pressure estimation from motor power (no extra sensors)
  • Optional external flow / pressure inputs
  • Operating point and BEP deviation tracking

Energy efficiency

  • Real-time loss identification
  • Operating-cost metrics and ROI tracking
  • Motor sizing and efficiency-class recommendations

How it works

  1. Connect — CTs and voltage leads at motor supply
  2. Self-learn — digital twin built automatically
  3. Monitor 24/7 — continuous comparison with the model
  4. Detect — traffic-light severity + time-to-failure + recommendations
  5. Full drive train — motor, coupling, gearbox and driven equipment

Technical specifications

Measurement

Parameter Value
Monitoring Online 24/7
Sampling 2500 Hz
Inputs 3-phase V and I
Motors Induction and synchronous AC
Control DOL, star-delta, soft start, VFD
Power range All ratings

Communications

Interface Use
Ethernet Plant network
Modbus TCP SCADA / PLC
OPC UA Standard industrial integration
4–20 mA / relays Optional hardwired alarms

Deployment

Option Description
On-premise Your own server
Cloud Artesis Cloud platform
Hybrid Combined architecture

Installation: DIN rail or panel, 100–240 V AC, IP20 (IP54 optional), 1–2 h per motor.

vs traditional vibration

Feature Vibration e-MCM
Sensor installation Every bearing None on machine
Install cost High Low
Maintenance Regular calibration Minimal
Hazardous areas Difficult Straightforward
Electrical faults No Yes
Power / efficiency No Yes
Process faults No Yes
Forecast horizon 1–2 weeks Up to 6 months

ROI

  • Lower capex — no vibration sensor fleet
  • Fast install — 1–2 hours per asset
  • Automated analysis — smaller team
  • Early warning — months of planning time
  • Energy optimisation
  • Typical payback 3–12 months
  • No monthly hardware subscription

Industries

Mining

Jaw and cone crushers, ball and SAG mills, conveyors, slurry pumps

Metals

Rolling-mill drives, furnace fans, cooling pumps, crushers

Oil, gas and chemicals

Pump trains, compressor stations, fans, centrifugal pumps

Water and wastewater

Pump stations, aerators, mixers, treatment plants

Manufacturing

Main drives, conveyor feeders, HVAC, industrial fans

Power generation

Generator auxiliaries, cooling-tower fans, feed pumps, ID/FD fans

Software

Traffic-light interface

  • Green / amber / red fleet health
  • Detailed fault views
  • Time-to-failure estimates

Artesis Cloud (optional)

  • Central dashboard, trends, email/SMS alarms
  • Multi-site reporting

Integration

SCADA, PLC tripping, DCS, building-management systems

Technology heritage

  • NASA-derived research — 35+ years development
  • 25 years field proven
  • Patented True Machine Learning
  • Continuously updated 10M+ signature library
  • Digital twin with mode recognition

Package contents

Standard kit

  • e-MCM monitoring module
  • Current transformers (3)
  • Voltage leads
  • Mounting hardware
  • Software licence

Options

  • DIN rail kit, IP54 enclosure
  • Analog and relay output modules
  • Cloud subscription
  • SCADA/DCS integration support

Support

  • 2-year hardware warranty
  • Online and phone technical support
  • Operator training
  • Regular software updates

Manufacturer

Artesis

e-MCM

Online sensorless electric motor monitoring with AI and digital twin

Key specifications

monitoring
Online, continuous 24/7
inputs
3-phase voltage and current
motors
AC motors of all sizes and ratings
speed
DOL, star-delta, VFD
faults
Mechanical, electrical, process
CallRequest a quote

Official supplier in Kazakhstan

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