TY - GEN
T1 - AI-Blockchain Systems in Aerospace Engineering and Management
T2 - 30th Telecommunications Forum, TELFOR 2022
AU - Abdulrahman, Yusra
AU - Parezanovic, Vladimir
AU - Svetinovic, Davor
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Artificial Intelligence (AI) and Blockchain technologies are increasingly used for various industrial applications. AI offers self-learning capabilities that can be used to automate certain industrial applications. On the other hand, blockchain provides decentralized system capabilities to ensure transaction security, transparency, and auditability. The aerospace industry is struggling with several challenges that the above-mentioned technologies can help resolve. This paper adopts an exploratory literature review to evaluate potential use cases for AI and Blockchain in aerospace engineering and management. This research shows that blockchain technologies can help with records management especially concerning aircraft maintenance, repair, and overhaul operations. In addition, AI provides significant capabilities in predictive fault detection, guidance systems, and optimization of flight paths. Nevertheless, most of these capabilities still require experimental validation and compliance with regulatory requirements.
AB - Artificial Intelligence (AI) and Blockchain technologies are increasingly used for various industrial applications. AI offers self-learning capabilities that can be used to automate certain industrial applications. On the other hand, blockchain provides decentralized system capabilities to ensure transaction security, transparency, and auditability. The aerospace industry is struggling with several challenges that the above-mentioned technologies can help resolve. This paper adopts an exploratory literature review to evaluate potential use cases for AI and Blockchain in aerospace engineering and management. This research shows that blockchain technologies can help with records management especially concerning aircraft maintenance, repair, and overhaul operations. In addition, AI provides significant capabilities in predictive fault detection, guidance systems, and optimization of flight paths. Nevertheless, most of these capabilities still require experimental validation and compliance with regulatory requirements.
KW - Aerospace Engineering
KW - AI
KW - Blockchain
UR - http://www.scopus.com/inward/record.url?scp=85146235972&partnerID=8YFLogxK
U2 - 10.1109/TELFOR56187.2022.9983700
DO - 10.1109/TELFOR56187.2022.9983700
M3 - Conference contribution
AN - SCOPUS:85146235972
T3 - 2022 30th Telecommunications Forum, TELFOR 2022 - Proceedings
BT - 2022 30th Telecommunications Forum, TELFOR 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 November 2022 through 16 November 2022
ER -