Digitalization and application of artificial intelligence in aircraft

Тихонов, А. И.; Sazonov, Andrey A.

doi:10.1063/5.0074219

Cited by 3 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The International Civil Aviation Organization monitors the economic impact of COVID-19 on civil aviation and adjusts its analytics as the situation evolves. New assessments of the situation, which experts made already in 2022, demonstrate the very significant devastating consequences of the COVID pandemic for the resumption of permanent air routes for passenger traffic in the near future [12]. Unfortunately, even the most pessimistic forecasts for the resumption of flights in 2020, which were made by analysts of aviation companies, did not come true: − total reduction in seats offered by airlines: 39%; − total reduction in passengers: 472 million; − potential loss of airline gross operating income: approximately $ 96 billion.…”

Section: Literature Reviewmentioning

confidence: 99%

Major trends in aviation industry during COVID-19

Тихонов

Sazonov

2022

J Appl Eng Science

Self Cite

View full text Add to dashboard Cite

The purpose of the research in this article is to identify the main trends in the development of aviation industry during COVID-19 pandemic. The authors identify the main problems facing aviation industry in the context of the developing world crisis and possible ways to solve them. As a working hypothesis, it is proposed to form the basic concepts necessary for preliminary preparation and implementation of operational measures to restore passenger and cargo aviation. Taking into account the main threats facing the aviation industry during COVID-19, the article proposes the organizational and economic mechanisms to restore the industry. Short-term, medium-term and long-term recovery scenarios are considered, taking into account the relevant factors that have a certain impact. The study is based on a comprehensive analysis of documentary data provided by government agencies in a number of European countries. Openly printed materials from the International Civil Aviation Organization (ICAO) are also used in the analytical report "Consequences of new coronavirus COVID-19 in civil aviation: analysis of economic impact". The research methods are working papers from the European and North Atlantic Offices of ICAO aimed at rebuilding the aviation industry after COVID-19 pandemic. An analysis of global and Russian passenger traffic for Q1-Q4 (quartile) of 2021 and a development forecast for Q1-Q2 of 2022 is provided. The scenario problems facing the aviation industry in the context of COVID-19 crisis are identified. There are key concepts necessary to start preparation and implementation of effective measures to restore the aviation industry.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Major trends in aviation industry during COVID-19

Тихонов

Sazonov

2022

J Appl Eng Science

Self Cite

View full text Add to dashboard Cite

show abstract

Application of Artificial Intelligence in Aerospace Engineering and Its Future Directions: A Systematic Quantitative Literature Review

Hassan,

Thakur,

Singh

et al. 2024

Arch Computat Methods Eng

View full text Add to dashboard Cite

Digital Twins for Condition and Fleet Monitoring of Aircraft: Toward More-Intelligent Electrified Aviation Systems

Sadeghi,

Bellavista,

Song

et al. 2024

IEEE Access

View full text Add to dashboard Cite

The convergence of Information Technology (IT), Operational Technology (OT), and Educational Technology (ET) has led to the emergence of the fourth industrial revolution. As a result, a new concept has emerged known as Digital Twins (DT), which is defined as "a virtual representation of various objects or systems that receive data from physical objects/systems to make changes and corrections". In the aviation industry, numerous attempts have been made to utilize DT in the design, manufacturing, and condition monitoring of aircraft fleets. Among these research efforts, real-time, accurate, fast, and predictive condition monitoring methods play a crucial role in ensuring the safe and efficient performance of aircraft. Using DT for condition and fleet monitoring not only enhances the reliability and safety of aircraft but also reduces operational and maintenance costs. In this paper, the conducted studies on the applications of DT systems for condition monitoring of aircraft units and the aerospace sector are discussed and reviewed. The aim of this review paper is to analyse the current developments of DT systems in the aviation industry as well as explain the remaining challenges of DT systems. Then Finally, future trends of DT systems along with aircraft are presented. Among reviewed papers, most of them have used computational fluid dynamics, finite element methods, and artificial intelligence techniques for developing DT models for aircraft. At the same time, most of these analyses are dedicated to the failure and crack detection body of aircraft as well as engine fault detection. Life prediction is another popular application for using DT in aircraft units that could help the engineers predict the maintenance required for different parts of the aircraft. Finally, the application of DT in marine, power systems, and space programs has been also reviewed and the lessons learned from them have been translated to the aviation sector.

show abstract

Digitalization and application of artificial intelligence in aircraft

Cited by 3 publications

References 10 publications

Major trends in aviation industry during COVID-19

Major trends in aviation industry during COVID-19

Application of Artificial Intelligence in Aerospace Engineering and Its Future Directions: A Systematic Quantitative Literature Review

Digital Twins for Condition and Fleet Monitoring of Aircraft: Toward More-Intelligent Electrified Aviation Systems

Contact Info

Product

Resources

About