Year: 2025
Type: article
Abstract: Digital twin technology is revolutionizing aircraft maintenance by creating virtual replicas of physical aircraft systems that evolve in real-time alongside their physical counterparts. This article explores how digital twins enable airlines to simulate maintenance scenarios, predict component failures, optimize maintenance schedules, and test repairs without affecting actual aircraft operations. By integrating with enterprise information systems, digital twins provide unprecedented insights into aircraft health through comprehensive data representation, real-time monitoring, pattern recognition, and predictive modeling. The implementation challenges, including data quality requirements, system integration complexities, workforce training needs, investment costs, and regulatory compliance issues, are examined alongside the substantial benefits of transitioning to a proactive maintenance approach. As the technology continues to evolve with advanced machine learning, augmented reality interfaces, quantum computing, edge computing, and fleet-wide integration, digital twins are transforming aircraft maintenance from a reactive necessity to a predictive science, resulting in significant reductions in emergency maintenance, enhanced operational efficiency, and compelling long-term financial returns.
Author: Divakar Duraiyan
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409862676