
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.
Горное оборудование
Key features
Applications and resources
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
- Connect — CTs and voltage leads at motor supply
- Self-learn — digital twin built automatically
- Monitor 24/7 — continuous comparison with the model
- Detect — traffic-light severity + time-to-failure + recommendations
- 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
Technical specifications
| monitoring | Online, continuous 24/7 |
| samplingRate | 2500 Hz |
| inputs | 3-phase voltage and current |
| motors | AC motors of all sizes and ratings |
| speed | DOL, star-delta, VFD |
| faults | Mechanical, electrical, process |
| communication | Ethernet, Modbus TCP, OPC UA |
| powerSupply | 100–240 V AC |
| deployment | On-premise or cloud |
| subscription | No monthly hardware subscription |
Applications
Manufacturer
Artesis
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
Official supplier in Kazakhstan
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