The method of diagnostics and estimation of a residual resource of the electromechanical equipment, based on the analysis of electric parameters is offered. Block diagram’s of a diagnostic complex and the data processing program are presented. The way of application of artificial neural networks for data processing of diagnostics and an estimation of a residual resource is considered, and also levels of influence of damages on working capacity of the equipment are resulted.