e-MCM
Description
Motor Condition Monitoring System (e-MCM)
e-MCM is a powerful online condition monitoring, predictive maintenance, and power meter tool intended for critical AC rotating equipment. The patented machine learning algorithm of e-MCM enables comprehensive fault detection up to 6 months in advance. Thanks to around the clock monitoring and real-time model-based voltage and current analysis, e-MCM can detect electrical, mechanical as well as process-related faults of fixed and variable speed motor driven equipment.
Highlights
- Online Condition Monitoring
- Early Fault Detection
- Automated Fault Diagnosis
- Comprehensive Fault Coverage (Electrical, Mechanical, Process Faults)
- Only Viable Solution For Hard To Reach Motors (Submersible Pumps, Cryogenic Pumps, etc…)
- Effects Of Faults On Energy Efficiency
FEATURES
Easy to Use
The automated fault diagnosis feature of e-MCM makes it very simple to use by the maintenance personnel. Rather than overwhelming the end-user with raw signals and data, e-MCM provides processed data results in an actionable form. The system requires minimal operator intervention for set-up and operation and provides clear indication of the nature and severity of developing faults both locally to the monitored equipment and remotely.
Real-Time Monitoring
e-MCM constantly takes measurements and compares them with its reference condition, in order to assess the severity and type of any developing fault. It is able to recognize abnormalities in a wide range of operating states and is even able to extend its self-learning process when it recognizes that it has moved beyond its original learning limits. This allows e-MCM to achieve very sensitive detection of faults without false alarms.
Ease of Maintenance Planning
Remote monitoring and reporting services contribute to the development of a sustainable predictive maintenance (PdM) system in the plant without additional workload undertaken by the crew.
DOWNLOADS
User Manual
Datasheet
Datasheet
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Comprehensive Condition Monitoring made easy!