AI-Blockchain Systems in Aerospace Engineering and Management: Review and Challenges

Y. Abdulrahman, Vladan D. Parezanović, D. Svetinovic
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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.
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航空航天工程与管理中的ai -区块链系统:回顾与挑战
人工智能(AI)和区块链技术越来越多地用于各种工业应用。人工智能提供自我学习能力,可用于自动化某些工业应用。另一方面,区块链提供去中心化的系统功能,以确保交易的安全性、透明度和可审计性。航空航天业正在努力应对上述技术可以帮助解决的几个挑战。本文采用探索性文献综述来评估人工智能和区块链在航空航天工程和管理中的潜在用例。这项研究表明,区块链技术可以帮助记录管理,特别是关于飞机维护、修理和大修操作的记录管理。此外,人工智能在预测故障检测、制导系统和飞行路径优化方面提供了重要的能力。然而,这些功能中的大多数仍然需要实验验证和符合法规要求。
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