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Abstract: The industrial landscape has recently experienced a remarkable revolution due to advanced digital technologies. By leveraging the power of data analytics, we can now gain valuable insights into the performance of industrial systems. Industrial drives, for example, already accumulate all the required information to control electric machines. These signals include but are not limited to phase currents, their magnitude, phase shift and frequency, and temperatures. Integrating machine learning models responsible for predicting the evolution of those directly collected or implicitly derived parameters can enhance their intelligence even further.