Aeroengine Remaining Life Prediction Using Feature Selection and Improved SE Blocks

Aeroengine Remaining Life Prediction Using Feature Selection and Improved SE Blocks

Aeroengines use numerous sensors to detect equipment health and ensure proper operation. Currently, filtering useful sensor data and removing useless data is challenging in predicting the remaining useful life (RUL) of an aeroengine using deep learning. To reduce computational costs and improve pred...

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Bibliographic Details
Main Authors: Hairui Wang, Shijie Xu, Guifu Zhu, Ya Li
Format: Article
Language:English
Published: Hindawi Limited 2024-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2024/6465566

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