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An analytical approach is proposed for the predictive control of technical condition of complex automated electric drive systems using forecasting, which makes it possible to increase the efficiency of maintenance and repair systems implementation based on the actual state. Based on the utilization coefficient use, a condition prediction efficiency criterion is proposed that provides reliable information on the state of AC electric drives in on-line mode. A method for preventive decision making for predicting failures of various automated electric drive systems based on the Bayesian approach has been developed. 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.