October 2025
Intermediate to advanced
448 pages
12h 21m
English
book
Artificial Intelligence Applications in Aeronautical and Aerospace Engineering
by K. Sathish Kumar, R. Naren Shankar
Content preview from Artificial Intelligence Applications in Aeronautical and Aerospace Engineering
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18Artificial Intelligence in Failure Prediction of Aircraft Components and Inventory Leveraging
Vinu Ramadhas1*, Krishnadhas Subash2 and K. Vijayaraja3
1 Department of ECE, Dayananda Sagar University, Bangalore, India
2 Naval Aeronautical Quality Assurance Service, Kochi, India
3 Department of Aeronautical Engineering, KCG College of Technology, Chennai, India
Abstract
Utilization of artificial intelligence in processing platform-based data and assetbased data repository of a particular variant of aircraft with and aim to achieve an effective maintenance utilization plan with reduced aircraft downtime and operational cost is the main motive of the paper. The importance of the main ingredients of platform-based data like repair, maintenance, servicing, component change, oil replenishment, HUMS data, and incident/accident were discussed and analyzed in detail to form a common machine-recognizable data sheet for AI analysis. Also, the need for mandatory asset requirements like tools, NDT equipment/expertise, critical component float, and mandatory spare along with skilled maintenance/operating staff, to assist in timely turnaround and optimal exploitation of aircraft, were detailed in the paper. In addition, the optimal utilization of AI in analyzing the platformand asset-centric data base to enhance the aircraft utility in the form of maintenance, servicing, and lifing recommendations or in the form of exploitation advisories/operational limitations. All the AI analyses are ...
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