Chetat, B.Hoja, J.2015-09-172015-09-17200310683712https://dspace.univ-boumerdes.dz/handle/123456789/2225The possibility of developing diagnostic systems for controllable asynchronous electric drives on the basis of neural networks combined in a decision-making system for the identification of various defects and determination of a rational diagnostic sequence is considered. The number of determinable diagnostic variables of the object permitting relatively reliable defect detection under external perturbations is optimizedenDecision makingElectric convertersFailure analysisShort circuit currentsArtificial neural networks for real-time fault diagnostics in asynchronous electric drivesArticle