NFT-Based Framework for Digital Twin Management in Aviation Component Lifecycle Tracking DOI Creative Commons
Igor Kabashkin

Algorithms, Journal Year: 2024, Volume and Issue: 17(11), P. 494 - 494

Published: Nov. 2, 2024

The paper presents a novel framework for implementing decentralized algorithms based on non-fungible tokens (NFTs) digital twin management in aviation, with focus component lifecycle tracking. proposed approach uses NFTs to create unique, immutable representations of physical aviation components capturing real-time records component’s entire lifecycle, from manufacture retirement. This outlines detailed workflows key processes, including part tracking, maintenance records, certification and compliance, supply chain management, flight logs, ownership leasing, technical documentation, quality assurance. introduces class designed manage the complex relationships between components, their twins, associated NFTs. A unified model is presented demonstrate how are created updated across various stages ensuring data integrity, regulatory operational efficiency. also discusses architecture system, exploring sources, blockchain, NFTs, other critical components. It further examines main challenges NFT-based future research directions.

Language: Английский

Decision-Making Framework for Aviation Safety in Predictive Maintenance Strategies DOI Creative Commons
Igor Kabashkin, Roman K. Fedorov, Vladimir Perekrestov

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1626 - 1626

Published: Feb. 6, 2025

The implementation of predictive maintenance (PM) in aviation presents unique challenges due to strict safety requirements, complex operational environments, and regulatory constraints. This paper develops a comprehensive decision-making framework for evaluating the feasibility implementing PM aircraft components, addressing critical need systematic integration technical, economic, considerations. Through expert surveys involving 78 professionals application multi-criteria decision analysis, this study identifies validates 14 key criteria across four categories: technical operational, economic feasibility, compliance, organizational human factors. analytic hierarchy process is employed establish weights, with flight impact, reliability predictability, data sufficiency emerging as primary drivers. framework’s effectiveness demonstrated through case studies comparing turbofan engines avionics units, validating its ability discriminate between components suitable implementation. Results indicate that successful requires not only technological readiness but also alignment compliance. contributes practice by providing structured, evidence-based approach decisions, while establishing foundation future innovations strategies. practical applicability enhanced detailed roadmap validation methods, ensuring relevance decision-makers maintaining standards.

Language: Английский

Citations

0
Recent Advancements in Morphing Applications: Architecture, Artificial Intelligence Integration, Challenges, and Future Trends- A Comprehensive Survey DOI Creative Commons
Md. Najmul Mowla, Davood Asadi,

Tahir Durhasan

et al.

Aerospace Science and Technology, Journal Year: 2025, Volume and Issue: 161, P. 110102 - 110102

Published: Feb. 26, 2025

Language: Английский

Citations

0
NFT-Based Framework for Digital Twin Management in Aviation Component Lifecycle Tracking DOI Creative Commons
Igor Kabashkin

Algorithms, Journal Year: 2024, Volume and Issue: 17(11), P. 494 - 494

Published: Nov. 2, 2024

The paper presents a novel framework for implementing decentralized algorithms based on non-fungible tokens (NFTs) digital twin management in aviation, with focus component lifecycle tracking. proposed approach uses NFTs to create unique, immutable representations of physical aviation components capturing real-time records component’s entire lifecycle, from manufacture retirement. This outlines detailed workflows key processes, including part tracking, maintenance records, certification and compliance, supply chain management, flight logs, ownership leasing, technical documentation, quality assurance. introduces class designed manage the complex relationships between components, their twins, associated NFTs. A unified model is presented demonstrate how are created updated across various stages ensuring data integrity, regulatory operational efficiency. also discusses architecture system, exploring sources, blockchain, NFTs, other critical components. It further examines main challenges NFT-based future research directions.

Language: Английский

Citations

1