In view of the high failure rate of the insulated gate bipolar transistor(IGBT) of wind turbine converter and the fact that the failure occurs on a short time scale

a health state assessment method of the IGBT based on dynamic regularization and Park vector centrifugal change rate is proposed. The similarity calculation model is established by using the dynamic regularization algorithm to calculate the minimum regularization distance and waveform similarity of three-phase waveforms to judge the condition of the converter. The centrifugal rate and change rate of Park vector ellipse are used to evaluate the IGBT status and set the evaluation index. Moreover

the practicability is verified by simulation data and operation data

respectively. The results reveal that

these two methods have good practicability

the waveform similarity decreases gradually before the fault occurs

and the change trend of Park vector eccentricity continues to increase

which proves that the two algorithm models can clearly distinguish between normal and abnormal waveforms. Using these two methods can timely feed back of the converter health status

thus to effectively avoid the shutdown or damage of the power electronic system due to the IGBT fault and avoid the property loss caused by equipment fault.