LOX/Kerosene Rocket Engine Starting Fault Detection

TAN Song-lin; ZHAO Wan-ming; MAO Gen-wang

Chinese

您当前的位置：

首页 >

文章列表页 >

LOX/Kerosene Rocket Engine Starting Fault Detection

更新时间：2026-07-07

- LOX/Kerosene Rocket Engine Starting Fault Detection
- Vol. 20, Issue 4, (2005)
- 作者机构：
  
  1. 航天推进技术研究院, 西安710100,西安,710100
  2. 北京控制工程研究所,北京,100080
  3. 西北工业大学航天学院,西安,710100
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2005
- 稿件说明：
移动端阅览
TAN Song-lin, ZHAO Wan-ming, MAO Gen-wang. LOX/Kerosene Rocket Engine Starting Fault Detection[J]. 2005, 20(4).
DOI：

TAN Song-lin, ZHAO Wan-ming, MAO Gen-wang. LOX/Kerosene Rocket Engine Starting Fault Detection[J]. 2005, 20(4). DOI：

摘要

针对液氧煤油发动机试车起动阶段故障检测需要

确定了采用时序模型和非线性回归模型的两种检测方法

提出了检测参数选取的一般性原则并结合液氧煤油发动机特点确定了检测参数

设计了故障检测所需的完整的软、硬件系统。经系统调试和试车同步验证

证明该检测系统能有效检测发动机起动阶段故障

对提高试车可靠性和安全性有重要意义。

Abstract

To meet the requirement of fault detection for LOX/Kerosene rocket engine starting

both detection methods of time sequence model and nonlinear regression model were applied.A general principle for parameter selection was proposed.With consideration of the LOX/Kerosene rocket engine features

the monitored parameters were determined.All the software and hardware for detection system were designed.This detection system was verified to be effective through debugging and engine hot testing.This system is important to engine reliability and safety improvement.

关键词

Keywords

references

Views

493

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Mathematical model and snatch force prediction for the lines-first parachute deployment

Aerodynamic optimization of transonic cascade using global aerodynamic optimization method

Numerical study on the flow and heat transfer characteristics of coupled synthetic jets

An improved numerical simulation method for airfoil ice accretion

Way to evaluate fatigue life of fillet weld of plate with flange based on stress field intensity

Related Author

XU Hong

CAO Yi-hua

LI Dong

SONG Li-ming

LUO Chang

LI Jun

FENG Zhen-ping

TAN Xiao-ming

Related Institution

Aviation Research Institute

School of Aeronautic Science and Technology, Beijing University of Aeronautics and Astronautics

Institute of Turbomachinery, Xi'an Jiaotong University

College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics

School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰