Modified Method of Identification Potential Defects in Helicopters Turboshaft Engines Units Based on Prediction its Operational Status-Reference-Cited by-同舟云学术

Modified Method of Identification Potential Defects in Helicopters Turboshaft Engines Units Based on Prediction its Operational Status

Published:2022-10-20 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 4th International Conference on Modern Electrical and Energy System (MEES)
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Author:

Vladov Serhii¹,Shmelov Yurii²,Yakovliev Ruslan³

Affiliation:

1. Kremenchuk Flight College of Kharkiv, National Univercity of Internal Affairs,Department of Aircraft Maintenance,Kremenchuk,Ukraine

2. Kremenchuk Flight College of Kharkiv, National Univercity of Internal Affairs,Department of Aviation and Electronic Equipment,Kremenchuk,Ukraine

3. College Head, Kremenchuk Flight College of Kharkiv, National Univercity of Internal Affairs,Kremenchuk,Ukraine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10005607/10005603/10005605.pdf?arnumber=10005605

Reference19 articles.

1. Hybrid multi-mode machine learning-based fault diagnosis strategies with application to aircraft gas turbine engines

2. Unilateral alignment transfer neural network for fault diagnosis of aircraft engine

3. A Framework of Dynamic Data Driven Digital Twin for Complex Engineering Products: the Example of Aircraft Engine Health Management

4. Method for Forecasting of Helicopters Aircraft Engines Technical State in Flight Modes Using Neural Networks;vladov;COLINS-2022 6th International Conference on Computational Linguistics and Intelligent Systems,2022

5. Methodology for Control of Helicopters Aircraft Engines Technical State in Flight Modes Using Neural Networks

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