Multi-Objective Hybrid Artificial Intelligence Approach for Fault Diagnosis of Aerospace Systems

Multi-Objective Hybrid Artificial Intelligence Approach for Fault Diagnosis of Aerospace Systems

Due to the space environment’s hazards and challenges, aerospace systems are continuously exposed to many failures, such as the degradation of the subsystem performance, sensor faults, connection loss, or equipment damage. Therefore, the effective fault diagnosis for detecting and identif...

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Bibliographic Details
Main Authors: Dalia Ezzat, Aboul Ella Hassanien, Ashraf Darwish, Mohamed Yahia, Ayman Ahmed, Sara Abdelghafar
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Aerospace systems
aircraft engines
binary grasshopper optimizer
deep learning
fault diagnosis
prognostic health management
Online Access:https://ieeexplore.ieee.org/document/9373304/

Internet

https://ieeexplore.ieee.org/document/9373304/

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