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 . . .

     

    Logo ScioWire Beta black

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

    Thanks :)

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

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?