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Validation for Predictive Maintenance of Aircraft Systems Using AI Models Developed With Rotor Blade Vibration Data

This study presents an approach for predictive maintenance of aircraft systems by developing an artificial intelligence (AI) model that utilizes rotor blade vibration data to detect mechanical faults early. A total of 4,921 data samples were collected, with 3,601 used for training and 1,320 for test...

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Principais autores: Kyu Young Lee, Khurshid Hussain, Inn-Yeal Oh
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2025-01-01
Serier:IEEE Access
Fag:
Predictive maintenance
AI model
aircraft
vibration
rotor blade
validation
Online adgang:https://ieeexplore.ieee.org/document/10924201/
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