MACHINE LEARNING METHOD FOR DIAGNOSING FAILURE OF INVERTER AND INVERTER DIAGNOSING FAILURE THROUGH LEARNING DATA

摘要

The present invention relates to a machine learning method for diagnosing a failure of an inverter, and to an inverter which self-diagnoses a failure through learning data obtained through the corresponding method. According to one embodiment of the present invention, the machine learning method for diagnosing a failure of an inverter comprises the steps of: driving a motor while changing an operating state of the inverter; and generating learning data for each operation state based on an error value which is a difference between an output value and a command value of the inverter, and storing the learning data in a database. The operating state includes a state in which at least one switching element among a plurality of switching elements provided in the inverter is opened and a state in which the gain or offset of a current sensor for measuring the output current of the inverter is changed.;COPYRIGHT KIPO 2020