Multi-Head Attention-Based Hybrid Deep Neural Network for Aeroengine Risk Assessment

Multi-Head Attention-Based Hybrid Deep Neural Network for Aeroengine Risk Assessment

Existing deep-learning models have limited applicability to aeroengine risk assessment owing to insufficient feature extraction capabilities and low robustness. This paper presents a hybrid deep neural network based on a Time2Vec time-embedding layer and multi-head attention mechanism for the proact...

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Bibliographic Details
Main Authors: Jian-Hang Li, Xin-Yue Gao, Xiang Lu, Guo-Dong Liu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Aeroengine risk assessment
hybrid deep neural network
multi-head attention mechanism
Time2Vec
Online Access:https://ieeexplore.ieee.org/document/10278395/

Internet

https://ieeexplore.ieee.org/document/10278395/

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