A fault diagnosis method under data imbalance based on generative adversarial network and long short-term memory algorithms for aircraft hydraulic system

HIGHLIGHTS

• who: Kenan Shen and Dongbiao Zhao from the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China have published the paper: A Fault Diagnosis Method under Data Imbalance Based on Generative Adversarial Network and Long Short-Term Memory Algorithms for Aircraft Hydraulic System, in the Journal: Aerospace 2023, 164 of /2023/
• what: The anti-noise performance of the LSTM-GAN method was analyzed; this model has superior noise immunity. In this paper, an improved GAN method is proposed called ACWGAN-gp to solve the data imbalance problem in hydraulic systems. It can . . .
  

   

  

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