Chinese
您当前的位置：
首页 >
文章列表页 >
基于TSFFCNN-PSO-SVM的飞机起落架液压系统故障诊断
更新时间：2025-03-14

    • 基于TSFFCNN-PSO-SVM的飞机起落架液压系统故障诊断

    • Vol. 39, Issue 1, Pages: 192-204(2024)

    • DOI：10.13224/j.cnki.jasp.20220111    

      CLC：

    移动端阅览

  • 冯东洋, 姜春英, 鲁墨武, et al. 基于TSFFCNN-PSO-SVM的飞机起落架液压系统故障诊断[J]. 2024, 39(1): 192-204. DOI： 10.13224/j.cnki.jasp.20220111.

  •  
  •  
icon
试读结束，您可以激活您的VIP账号继续阅读。
去激活 >
icon
试读结束，您可以通过登录账户，到个人中心，购买VIP会员阅读全文。
已是VIP会员？
去登录 >

0

Views

759

下载量

1

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

基于融合时频变换的MobileNetV3-AHFF和MS-HNNE模型的行星齿轮箱故障诊断方法
UIO-based sensor fault diagnosis for aero-engine control systems
Fault diagnosis system design for the sensors and components of aircraft engine based on cloud relational analysis
Research on aeroengine vibration fault diagnosis based on support vector machine and generalized roughness feature
Significant impact of engine technical innovation on airplane performance advancement

Related Author

戚晓利
王志文
杨文好
崔德海
赵方祥
王兆俊
TAN Dao-liang
HE Ai

Related Institution

安徽工业大学 机械工程学院
School of Jet Propulsion, Beijing University of Aeronautics and Astronautics
Civil Aviation University of China
Nanjing University of Aeronautics and Astronautics
Civil Aviation College, Nanjing University of Aeronautics and Astronautics
0