The determination of the current state and the reliability indices of synchronous motors with long time between failures

摘要

The paper deals with the approaches to the assessment of the current state and the forecast of the indices of reliability of synchronous motors with a long time between failures in the presence of defects of their basic structural units. We substantiated the structure of the neural network including a set of informative parameters and the specific features of its teaching. We carried out experimental research of the synchronous motor aiming at obtaining the initial data required for teaching the neural network.