High precision feature fast extraction strategy for aircraft attitude sensor fault based on repvgg and senet attention mechanism

HIGHLIGHTS

• who: Zhen Jia and colleagues from the School of Mechanical and Electrical Engineering, Xi`an University of Architecture and Technology, Xi`an, China have published the research work: High Precision Feature Fast Extraction Strategy for Aircraft Attitude Sensor Fault Based on RepVGG and SENet Attention Mechanism, in the Journal: Sensors 2022, 9662 of /2022/
• what: In this paper a fast and high-precision diagnosis strategy for is proposed. A model-based battery fault diagnosis method is proposed, which is based on multiple equivalent circuit models . The SE module contains two classification task in this paper . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.