International Collaboration Prize for First Unified EU-Russia Flight Analysis Project

Airport congestion, OR-MASTER

The Organisations

United Aircraft Corporation’s (UAC) mission is development, production and after-sales service of aircraft for military and civil purposes with priority needs for government customers, achieving and maintaining long-term competitiveness of the Russian aircraft industry in the global aviation market. The Russian Government, being the majority shareholder of UAC is substantially involved in determining the corporation’s objectives, constraints and possibilities for implementing its development strategy.

www.uacrussia.ru/en

Sagem, a Safran high-tech company, holds world or European leadership positions in optronics, avionics, electronics and critical software for both civil and military markets. Sagem is the no. 1 company in Europe and no. 3 worldwide for inertial navigation systems (INS) used in air, land and naval applications. It is also the world leader in helicopter flight controls and the European leader in optronics and tactical UAV systems. Operating across the globe through the Safran international network, Sagem and its subsidiaries employ 7,600 people in Europe, Asia-Pacific, North America and South America.

www.sagem.com

The Challenge

Due to political and historic reasons, aircraft manufactured in Russia utilise a different flight data analysis system than that currently used by the rest of the world. Therefore, flights covering both Russia and Europe could not be analysed by one system, nor was the replacement of the existing system an option.

Expertise Sought

  • Data analysis skills
  • Experience with predictive software

The Solution

The School of Computing and Communications at Lancaster University has research expertise in communications and networking, computer systems, intelligent systems, software engineering, and human-computer interaction.

The project, led by Professor Markarian and Dr. Plamen Angelov from the School of Computing and Communications, provided a common standardised solution that has acceptance in both the EU and the Russian Federation, and offers additional fault prediction capabilities which further enhance aviation safety and improve maintenance efficiency. The developed Flight Data Monitoring (FDM) and analysis system works to predict problems based on flight data so that the problems can be solved or avoided to improve flight safety.

Impact

Working with telecommunications and aviation giants Sagem (France) and UAC (Russia), the project brought together European and Russian industries and research organisations from the aviation sector to enhance flight operational safety, and to initiate smart maintenance through intelligent and automated flight data monitoring. The success of this project has created a foundation for further expansion of the School of Computing and Communications' research activities into a healthcare system analysing the data of patients to predict health issues.

The project won third place in February 2013 in an international aircraft manufacturing competition for the category 'International Collaboration', organised by the European Union and the Union of Aircraft Manufacturers in Russia.

Benefits to the aviation industry

  • Offers additional fault prediction capabilities
  • Further enhance aviation safety
  • Improve maintenance efficiency

Benefits to the university

  • Demonstrates the university’s capability to develop new technologies and implement these technologies in practical systems

Benefits to society

  • The developed flight data analysis algorithms will allow more efficient maintenance of the aircraft, thus improving safety of the flights for all passengers 

Researcher Feedback 

"More than 100 international projects were nominated for the award and our third place is a recognition of research excellence which exists in Lancaster in the field of aviation security and safety. It demonstrates our capability to develop new technologies and implement these technologies in practical systems by working with huge multi-national corporations. The developed flight data analysis algorithms will allow more efficient maintenance of the aircraft, thus improving safety of the flights for all passengers." Professor Garik Markarian, School of Computing and Communications, Lancaster University.