CPC G05B 23/0229 (2013.01) [G05B 23/024 (2013.01); G05B 23/0283 (2013.01)] | 13 Claims |
1. A method for predicting a faulty behaviour of an electrical converter, the method comprising:
receiving an operation point indicator (I) of the electrical converter indicative of an actual operation point of the electrical converter, wherein the electrical converter is connected to a rotating electrical machine to drive the rotating electrical machine, and wherein the operation point indicator (I) comprises at least one of: a torque of the rotating electrical machine and a rotational speed of the rotating electrical machine;
receiving a measured device temperature (Td) of a power semiconductor device of the electrical converter indicative of an actual temperature of the power semiconductor device;
inputting the operation point indicator (I) as input data into a machine learning algorithm trained with historical data comprising operation point indicators and associated device temperatures, wherein the historical data was recorded during normal operation of a power semiconductor device;
estimating an estimated device temperature (Td*) with the machine learning algorithm, wherein the estimated device temperature (Td*) represents a device temperature during a normal operation; and
predicting the faulty behaviour (F) by comparing the estimated device temperature (Td*) with the measured device temperature (Td).
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