Permanent on-line partial discharge monitoring system for rotating machines

PD monitoring for rotating machines

MONGEMO is a permanently installed, continuous on-line partial discharge (PD) monitoring system for one or multiple rotating machines, such as generators and electrical motors. It is used for assessing the insulation condition of stator windings and detecting insulation defects by continuously collecting and analyzing PD data over time. The system provides you with detailed PD trend analyses to assess a machine’s insulation state to make timely maintenance decisions.

MONGEMO at a glance

Detailed measurement
Synchronous, multi-channel partial discharge data acquisition enables you to gather more complete data for more reliable assessments of PD activity in the stator windings of generators and motors.
Reliable data
Advanced noise suppression and multiple partial discharge source separation techniques ensure that only relevant PD data is evaluated so that you can detect faults quicker.
Automatic problem notification
Detailed partial discharge trend analysis with warnings and alarms of high PD activity helps you to identify potential problems and to make timely maintenance decisions.
Remote data access
The software enables you to configure the monitoring system, change alarm thresholds and view real-time data and trends remotely using the convenient web interface.

Actionable data for timely maintenance

MONGEMO provides you with warnings and alarms when PD activity reaches or exceeds pre-set threshold values. The MONGEMO system’s convenient Web interface allows you to remotely configure and adjust monitoring parameters, view real-time data and trends, and analyse the collected raw data. Using this actionable data, you can assess the risk of dielectric failure in your machines and optimize your maintenance strategy.

“MONGEMO provides you with a continuous, reliable assessment of partial discharge activity in stator winding insulation throughout the entire life of your rotating electrical machines.”

Key features

  • Customized system approach to match specific monitoring requirements
  • Synchronous, four-channel PD data acquisition for complete PD assessment
  • Advanced noise suppression and fully automated PD cluster separation for convenient evaluation
  • Recording of raw PD data at selected intervals for in-depth post analysis
  • Seamless integration with third-party monitoring devices and SCADA systems 


  • Continuous dielectric condition assessment of insulation in generators and motors
  • Optimization of rotating machine maintenance strategies

Solution for:



October 20, 2020
Training Center Berlin, Berlin, Germany
October 21 - 22, 2020
Training Center Berlin, Berlin, Germany
November 17 - 18, 2020
Training Center Berlin, Berlin, Germany

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