您当前的位置:
首页 >
文章列表页 >
Gas path debris electrostatic monitoring technology and experiment
更新时间:2026-07-07
    • Gas path debris electrostatic monitoring technology and experiment

    • Vol. 23, Issue 12, (2008)
    • Published:2008

    移动端阅览

  • WEN Zhen-hua, ZUO Hong-fu, LI Yao-hua. Gas path debris electrostatic monitoring technology and experiment[J]. 2008, 23(12). DOI:

  •  
  •  
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

474

下载量

0

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

Fault diagnosis of aero-engine gas path based on SVM and SNN
ESN-based combination method for aero-engine condition prediction
Research on sensor fault diagnosis of aero-engine based on data fusion of SPSO-SVR
Identification of flexible nozzle torque properties based on wavelet neural network optimized by genetic algorithm
Slow feature density clustering⁃based gas path anomaly detection method

Related Author

WANG Xiu-yan
LI Cui-fang
GAO Ming-yang
LI Zong-shuai
GUO Yang-ming
FU Lin-juan
RAN Cong-bao
MA Jie-zhong

Related Institution

School of Aeronautical Automation, Civil Aviation University of China
School of Instrumentation Science and Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics
School of Computer Science, Northwest Polytechnical University
College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics
Guzhou Liyang Aero Engine Corporation
0