Y. Abdulrahman, Vladan D. Parezanović, D. Svetinovic
{"title":"AI-Blockchain Systems in Aerospace Engineering and Management: Review and Challenges","authors":"Y. Abdulrahman, Vladan D. Parezanović, D. Svetinovic","doi":"10.1109/TELFOR56187.2022.9983700","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 30th Telecommunications Forum (TELFOR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TELFOR56187.2022.9983700","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
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.