TSAMTO, April 16. A subsidiary of Rostec-JSC "RT-Techpriemka" - and the Flight Safety Service of the Ministry of Defense of the Russian Federation intend to implement a project to introduce advanced machine learning in the production and operation of military aircraft.
The use of artificial intelligence will allow you to perform long-term planning of product quality and predict the need for equipment repairs with high accuracy. The new approach to data collection and analysis will increase the accuracy of forecasts to 90%.
The introduction of advanced machine learning is designed to minimize the risks in the field of flight safety. The method is based on the use of predictive analytics – it can be used to predict the behavior of equipment in the future. For example, even at the assembly stage, the system is able to identify a potential defect that can cause equipment failure. During maintenance or repair, the solution will detect factors that affect the state of the equipment and predict possible emergencies, allowing you to eliminate their causes in advance.
"We have a positive attitude to the idea of using modern technologies, including artificial intelligence. The availability of objective and complete information about the root causes of possible failures of aviation equipment at the level of technological processes will prevent more serious events. After all, where the technological process is built, safety is ensured, " said Sergey Bainetov, Head of the Aviation Safety Service of the Russian Armed Forces.
To create an innovative forecasting system, large-scale work will be carried out to collect and digitize production indicators. In particular, the volume of production, the parameters of technological processes, the speed and quality of processing of advertising events will be analyzed. Based on the data obtained, the "smart" system will study the production and operation processes, calculate their optimal parameters and will be able to give recommendations to the operator. Machine learning technology will allow you to create a mathematical model of the production process, which can then be integrated into an automated control system.
"The introduction of artificial intelligence will solve many issues at all stages of the life cycle of military aircraft, starting from the moment of design. Thanks to new technologies, maintenance work is optimized, downtime will be reduced, and the operator will have complete information about the condition of the equipment and, most importantly, will be able to prevent equipment failures. Now we are on the threshold of a large-scale study, on the basis of which the model will be trained. To achieve maximum accuracy, it must be trained in several stages, adding or removing some data sets. The final product should be a web service or a mobile application with a user-friendly interface, " said Vladlen Shorin, General Director of RT-Techpriemka JSC.
The message is posted in the public domain on the website of the State Corporation "Rostec".
