PREDICTION OF FAULTY BEHAVIOUR OF A CONVERTER BASED ON TEMPERATURE ESTIMATION WITH MACHINE LEARNING ALGORITHM

摘要

A method for predicting a faulty behaviour of an electrical converter (12) comprises: receiving an operation point indicator (I) of the electrical converter (12) indicative of an actual operation point of the electrical converter (12); receiving a measured device temperature (T_d) of a power semiconductor device (18) of the electrical converter (12) indicative of an actual temperature of the power semiconductor device (18); inputting the operation point indicator (I) as input data into a machine learning algorithm (32) trained with historical data comprising operation point indicators and associated device temperatures; estimating an estimated device temperature $\left(T_d^{*}\right)\mathop{\mathrm{image}}$ with the machine learning algorithm; and predicting the faulty behaviour (F) by comparing the estimated device temperature $\left(T_d^{*}\right)\mathop{\mathrm{image}}$ with the measured device temperature (T_d).