Predictive Maintenance of Aircraft Engine using Empirical Mode Decomposition based Long Short Term Memory-Reference-Cited by-同舟云学术

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Predictive Maintenance of Aircraft Engine using Empirical Mode Decomposition based Long Short Term Memory

Published:2024-05-17 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 Second International Conference on Data Science and Information System (ICDSIS)
language:
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Author:

Nabi Shaik Abdul¹,Naick B. Raveendra²,Almusawi Muntather³,Shruthi B S⁴,Rana Veer Samara Sihman Bharattej R⁵

Affiliation:

1. AVN Institute of Engineering & Technology,Department of Computer Science and Engineering,Hyderabad,Telangana,India

2. Mohan Babu University,School of Computing,Dept. of CSE(AI&ML),Tirupati,India

3. The Islamic University,Department of Computers Techniques Engineering College of Technical Engineering,Najaf,Iraq

4. Nitte Meenakshi Institute of Technology,Department of Civil Engineering,Bengaluru,India

5. Saint Leo University,Department of Computer Science,Florida,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10593798/10594006/10594388.pdf?arnumber=10594388

Reference12 articles.

1. Intracranial hemorrhage detection in 3D computed tomography images using a bi-directional long short-term memory network-based modified genetic algorithm

2. Deep reinforcement learning for predictive aircraft maintenance using probabilistic Remaining-Useful-Life prognostics

3. A Deep Learning Model for Remaining Useful Life Prediction of Aircraft Turbofan Engine on C-MAPSS Dataset

4. Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics

5. A rare failure detection model for aircraft predictive maintenance using a deep hybrid learning approach

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