MACHINE LEARNING METHOD FOR DIAGNISING FAULT OF INVERTER AND INVERTER FOR DIAGNOSING FAULT THROUGH LEARNING DATA

摘要

The present invention relates to a machine learning method for diagnosing a malfunction of an inverter, and an inverter that self-diagnoses a fault through learning data acquired through the method. The machine learning method for diagnosing an inverter failure according to an embodiment of the present invention is a step of driving a motor while changing an operation state of an inverter and learning data for each operation state based on an error value that is a difference between an output value and a command value of the inverter And generating and storing in a database, wherein the operating state is a state in which at least one switching element among the plurality of switching elements provided in the inverter is opened, and a gain of a current sensor for measuring the output current of the inverter. ) Or an offset is changed.