Decision-making System Algorithms for the Maintenance and Forecasting of Automated Electric Drives

The control system algorithms for the technical condition of complex automated electric drive systems using forecast-ing are presented, which make it possible to increase the efficiency of the maintenance systems implementation. Ap-proaches to forecasting the state of the driving synchronous electric motors of technological installations as discrete stochastic systems that provide reliable information on the state in an on-line mode have been considered. A logical-probabilistic diagnostic model of the decision-making system on the need for technical diagnostics procedures has been formed. The proposed method has been tested on synchronous machines of the STD-12500-2 type, which operate as drive electric motors for gas-pumping units at linear compressor stations of the main gas transport.