PreditWindT

 

The real-time monitoring system for Wind Turbines, PreditWindT has developed for the real-time monitoring of the main components of the power module in wind turbines, namely the generator, power electronics (power converter and soft starter) and distribution transformer, that will allow to the operators to apply preventive maintenance strategies instead of corrective actions, with increased availability and significant operation cost savings.

 

PreditWindT uses an innovative fault diagnostic algorithm that integrates the most recent advances in the field of electric Asset Performance Management. With additional capabilities to those of a simple vibration analysis, the Enging algorithm makes a powerful electric signature spectral and time analysis for detection of faults and abnormal operating conditions.

 

The monitoring system uses state-of-the-art diagnostic techniques developed by Enging, to perform the detection of frequent faults and the evaluation of the fault´s severity level in this type of assets. It is an advance solution that allows to perform predictive maintenance actions in the main components of the power module in wind turbines.

The algorithm also combines the most recent scientific innovations in this sector, allowing to discriminate component faults from load oscillation conditions due to wind fluctuation.

APPLICATIONS
The solution PreditWindT can be applied to several wind turbine characteristics:
- Wind Turbine with Squirrel Cage Induction Generators
- Wind Turbine with Wound Rotor Induction Generator
- Wind Turbine with Doubly Fed Induction Generator
- Wind Turbine with Permanent Magnet Synchronous Generator
- Wind Turbine with Electrically Excited Synchronous Generator
- Among others wind turbines