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Project

S7 will predict breakdowns of airplanes using machine learning

Customers: S7 Airlines Siberia Airline

Moscow; Transport

Product: Artificial intelligence (AI, Artificial intelligence, AI)

Project date: 2018/03  - 2018/03

S7 Airlines developed the system of predictive maintenance (predictive maintenance). According to the company, it became the first Russian airline which completed development of a similar system.

The company announced completion of system development at the beginning of March, 2018. At the initial stage of its implementation it will be used for the Airbus A319 aircrafts. Within a year the company expects to adapt it for all plane fleet, follows from the press release of S7.

S7 will reduce quantity of delays of runs for technical reasons (the Photo - Airlines Inform)

As the company explained, the system of predictive maintenance assumes the analysis of an array of historical data on maintenance of airplanes and work of separate components.

The software for data analysis and creation of a mathematical model was developed by specialists of S7 Airlines together with the Russian company Datadvance specializing in development of solutions for predictive analytics. In March, 2018 the data array from 2012 for 2017 was already available to the analysis. These are the data recorded in the systems of telemetry of airplanes, databases of holding of maintenance and repair of S7 Technics aviation equipment and meteorological data.

The main objectives which the company expects to solve using predictive maintenance, - reduction of number of the departures delayed for technical reasons, increase in flight safety and efficiency of maintenance of courts, forecasting of probability of possible breakdowns for each airplane in the company park.

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Modern technologies in the field of machine learning allow to apply new approach to security of flights. In particular, it is possible to predict rather precisely breakdowns using mathematical models. Modern developments of producers of aircrafts allow to obtain almost instantly upon completion of flight information on work of all systems. In a complex with long-term experience of specialists of S7 Technics it allows to increase significantly efficiency of maintenance of airplanes — the press service of airline cites words of Pavel Voronin, the deputy CEO for information technologies of S7 Group.
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In the long term specialists of the company is going to upgrade a system so that to receive and process data in real time.

Aeroflot tried to implement earlier similar project. However could not find the contractor for system development.