Automatic diagnostics and predictive system (TEG) SDP-TEG is a software package designed for early detection of equipment malfunctions.

Intelligent forecasting for critical components helps improve technical availability.

The algorithms detect abnormal patterns and trends in the operation of the equipment, and statistical methods of mathematical modeling are also used to identify deviations of current operation of the equipment from the optimal mode predicted by model.

Analyzing data over long period of time provides information on trends that helps in further optimization of the model.

• Prevention of emergency situations;

• Reduction of unplanned maintenance costs;

• Reduction of costs for unproductive losses (working hours);

• Improving technical availability of equipment;

• Reduction of labor costs for maintenance personnel through planning and regular monitoring of unit wear;

• Optimization of technological process.