An Investigation of Exhaust Gas Temperature of Aircraft Engine Using LSTM

An Investigation of Exhaust Gas Temperature of Aircraft Engine Using LSTM

A significant obstacle to creating efficient machine health monitoring systems is estimating performance degradation in dynamic systems, like aero plane engines. In exceedingly complex systems with many components, states, and parameters, conventional model-based and data-driven methods fall short o...

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Bibliographic Details
Main Authors: Shafi Ullah, Shuguang Li, Khalid Khan, Shahbaz Khan, Ilyas Khan, Sayed M. Eldin
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Predictive maintenance
artificial intelligence
exhaust gas temperature
condition-monitoring
machine learning
Online Access:https://ieeexplore.ieee.org/document/10012388/

Internet

https://ieeexplore.ieee.org/document/10012388/

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