Deep-Learning-Based Information Fusion Methodology for Oil Film Coefficient Identification of Squeeze Film Dampers
Author:
Affiliation:
1. School of Aerospace Engineering, Shenyang Aerospace University, Shenyang, China
2. Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi’an Jiaotong University, Xi’an, China
Funder
National Natural Science Foundation of China
Fellowship of China Postdoctoral Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9933390/09900239.pdf?arnumber=9900239
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Influence of width of squeeze film damper on the transient response of rotor systems;AIP Advances;2024-07-01
2. Research on Dynamic Characteristic Coefficients of Integral Squeeze Film Damper;Machines;2024-04-20
3. Depression Recognition From EEG Signals Using an Adaptive Channel Fusion Method via Improved Focal Loss;IEEE Journal of Biomedical and Health Informatics;2023-07
4. Unsupervised Continual Source-Free Network for Fault Diagnosis of Machines Under Multiple Diagnostic Domains;IEEE Sensors Journal;2023-04-15
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