108 / 2025-05-15 10:45:38

Modeling of Stator Current Signals and Drive Train Fault Monitoring Applications in Doubly-Fed Induction Generator Wind Turbines

Wind turbine, Drive train, Stator current, Condition monitoring

In the field of Doubly-Fed Induction Generator (DFIG) wind turbine drive train condition monitoring, the stator current signal exhibits global anomaly detection capability. This paper proposes a novel drive train condition monitoring method based on the amplitude ratio of DFIG stator current signals. First, MATLAB/Simulink is employed to simulate DFIG wind turbine operation. By comparing simulated stator current signals with measured signals, the theoretical and practical differences in their composition and variation patterns are analyzed. Subsequently, a current amplitude ratio algorithm is developed by leveraging the distinct characteristics of stator current signals under normal operation versus fault conditions. Furthermore, experimental validation is conducted using a DFIG wind turbine simulation test platform, where stator current signals are collected under both normal and various fault states. The results demonstrate that the proposed method can effectively identify drive train abnormalities, showing significant engineering practicality for DFIG wind turbine condition monitoring.