Electrical signature of rotating machines.

The analysis of the motors’ or generators’ supply currents is in addition to the vibration analysis.

It allows enhanced detection of faults manifested through fluctuations in torque or instantaneous rotational speed.

These can be electromagnetic faults on the motors or alternators (broken bars, eccentric air gap, thyristor faults), mechanical faults in the shaft line (set of keys, cardan joint fault, coupling set, off-centre pinion, faceting of rolling mill or paper machine rolls, torsional resonance), torque fluctuations inherent in the process (acyclism of a heat engine, hydraulic pulsation of a pump or turbine) or control loops (pumping, instability)

New in V3

  • New interface: more modern, more user-friendly
  • Acquisition: 3 current phases, 3 synchronised voltage and speed phases
  • Diagnosis: calculation of powers, phase shifts, evolution of indicators
  • Analysis: edition of a customised personalised report

Rounds of electrical measurements

The list of machines to be monitored is incorporated into electrical signal collection routes for measurements with the CTMO®.

Various measurement modes, adapted to your analysis requirements and your fleet of machines, optimise the use of the CTMO’s 4 channels.

Automatic signal analysis

The indicators giving the frequency and amplitude modulation rates, the distortion rates, the static and zero sequence phase imbalances, the cosø, etc., are automatically extracted from the electrical signals acquired.

A comprehensive database

The database integrates the engines’ and generators’ technical data, as well as the indicators’ evolution curves. It contains the history of the diagnoses and recommendations as well as maintenance actions carried out motor by motor.

An assistant facilitates the job of entering and editing recommendations.

The qualification of each machine status can be viewed directly and clearly

Advanced diagnosis

Dynalim® can recalculate amplitude and frequency demodulation functions useful for advanced diagnoses.

Their overlappings at various dates indicate the components which are evolving.