Novel Transformer-Based Fusion Models for Aero-Engine Remaining Useful Life Estimation

Novel Transformer-Based Fusion Models for Aero-Engine Remaining Useful Life Estimation

Remaining Useful Life (RUL) estimation is a crucial technology in prognostic and health management (PHM) for modern aero-engines, as it ensures the reliability and safety of aircraft. With advances in sensor technology, data-driven approaches for RUL estimation have gained significant interest in re...

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Bibliographic Details
Main Authors:	Qiankun Hu, Yongping Zhao, Lihua Ren
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Access
Subjects:	Aero-engine prognostic and health management remaining useful life estimation transformer long short-term memory neural network convolution neural network
Online Access:	https://ieeexplore.ieee.org/document/10129186/

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