Electro-hydraulic SBW fault diagnosis method based on novel 1DCNN-LSTM with attention mechanisms and transfer learning-Reference-Cited by-同舟云学术

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Electro-hydraulic SBW fault diagnosis method based on novel 1DCNN-LSTM with attention mechanisms and transfer learning

Published:2024-11 Issue: Volume:220 Page:111644
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Zhang Senhao,Liang Weihe,Zhao Wanzhong,Luan Zhongkai,Wang Chunyan,Xu Kunhao

Funder

Jiangsu Provincial Key Research and Development Program

Jiangsu Key Laboratory for the Research and Utilization of Plant Resources

Graduate Research and Innovation Projects of Jiangsu Province

China Postdoctoral Science Foundation

National Postdoctoral Program for Innovative Talents

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference54 articles.

1. Harmonic suppression and road feeling control of steer-by-wire system with permanent magnet synchronous motor;Liang;Mech. Syst. Signal Process.,2022

2. Coordinated control of yaw and roll stability in heavy vehicles considering dynamic safety requirements;Liang;Control Eng. Pract.,2024

3. Energy analysis and optimization design of vehicle electro-hydraulic compound steering system;Zhao;Appl. Energy.,2019

4. Energy optimization strategy of vehicle DCS system based on APSO algorithm[J];Zou;Energy,2020

5. Delta Operator-Based Model Predictive Control with Fault Compensation for Steer-by-Wire Systems, IEEE Trans. Syst. Man;Huang;Cybern. Syst.,2020

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