Few-shot reliability evaluation of tribopairs degradation based on active learning supported generative adversarial network-Reference-Cited by-同舟云学术

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Few-shot reliability evaluation of tribopairs degradation based on active learning supported generative adversarial network

Published:2024-11 Issue: Volume:165 Page:108772
ISSN:1350-6307
Container-title:Engineering Failure Analysis
language:en
Short-container-title:Engineering Failure Analysis

Author:

Ma Zhonghai,Sun Yiwen,Yin Fanglong^ORCID,Zhang Qidong,Nie Songlin,Ji Hui

Funder

Natural Science Foundation of Beijing Municipality

Beijing Natural Science Foundation

National Aerospace Science Foundation of China

National Natural Science Foundation of China

Foundation on the Creative Research Team Construction Promotion Project of Beijing Municipal Institutions

Publisher

Elsevier BV

Reference41 articles.

1. Engineering research in fluid power: a review;Yang;J. Zhejiang Univ.-Sci. A,2015

2. Modern water hydraulics—the new energy-transmission technology in fluid power;Lim;Appl. Energy,2003

3. Research on fluid-structure interaction for piston/cylinder tribopair of seawater hydraulic axial piston pump in deep-sea environment;Nie;Ocean Eng.,2021

4. Effect of surface texture on wear reduction of the tilting cylinder and the valve plate for a high-speed electro-hydrostatic actuator pump;Zhang;Wear,2018

5. Investigation on mixed thermalelstohydrodynamic lubrication behavior of slipper/swash plate interface in water hydraulic axial piston pump;Yin;Tribol. Int.,2023

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