A Novel Remaining Useful Life Prediction Approach Combined eXtreme Gradient Boosting and Multi-Quantile Recurrent Neural Network

A Novel Remaining Useful Life Prediction Approach Combined eXtreme Gradient Boosting and Multi-Quantile Recurrent Neural Network

Remaining useful life (RUL) prediction is a key technology to ensure the reliability and safety of high-end equipment. Deep learning is widely used for RUL prediction due to the excellent feature extraction ability and nonlinear fitting ability. Traditional recurrent neural networks adopt recursive...

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Bibliographic Details
Main Authors: Yantao Yin, Jianyin Zhao, Xiao Zhang, Ying Liu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Remaining useful life
eXtreme gradient boosting
multi-quantile recursive neural network
quantile regression
forking sequences training scheme
Online Access:https://ieeexplore.ieee.org/document/10478510/

Internet

https://ieeexplore.ieee.org/document/10478510/

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