Year: 2025
Type: article
Abstract: The article explores digital IoT-based platforms in the field of aviation maintenance.Digital platforms based on the Internet of Things (IoT) in aviation maintenance enhance efficiency, accuracy, and operational safety.With connected sensors and big data analytics, IoT enables real-time aircraft condition monitoring, early detection of potential failures before they occur, and optimization of maintenance planning.All of this contributes to reduced downtime, lower maintenance costs, and increased overall reliability of aviation equipment.The use of IoT-powered digital platforms unlocks new opportunities for predictive analytics, automation, and integration of maintenance processes, making aviation more technologically advanced, economically efficient, and safe. This study examines modern complex IoT platforms, including GE Aviation Predix, Honeywell Forge for Airlines, Airbus Skywise, IBM Maximo for Aviation, Collins Aerospace Ascentia, Rolls-Royce Engine Health Management (EHM), Safran Cassiopée™, Boeing AnalytX, IFS Cloud for Aviation Maintenance, and Lufthansa Technik AVIATAR.The article tracks the dynamics of the adoption of intelligent aviation IoT platforms and presents their classification.Aviation IoT platforms were categorized into groups: industrial platforms for predictive maintenance, digital platforms for maintenance management and analytics, analytical and monitoring platforms for aviation equipment, monitoring and management platforms for aircraft engines, and platforms for flight data analysis and safety.The study also examines the applicability of IoT platforms for passenger, cargo, business jets, military, light aircraft, and eVTOL aircraft to ensure efficient maintenance operations.Special attention is given to predictive maintenance.The research investigates the functional capabilities of IoT platform integration with other aviation systems to provide centralized data access and facilitate coordination among technical personnel, airlines, and equipment manufacturers.A detailed analysis of the functional capabilities of these platforms has revealed key features that enhance aviation equipment operational efficiency, optimize maintenance costs, and improve flight safety.
Authors: І. І. Ienina, N. O. Chornohor
Language: English
Topic: Engineering and Test Systems
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411318215