Research on performance fault fusion diagnosis of aero-engine component

LU Feng; HUANG Jin-quan; CHEN Yu

Chinese

您当前的位置：

首页 >

文章列表页 >

Research on performance fault fusion diagnosis of aero-engine component

更新时间：2026-07-07

- Research on performance fault fusion diagnosis of aero-engine component
- Vol. 24, Issue 7, (2009)
- 作者机构：
  
  1. 南京航空航天大学能源与动力学院,南京,210016
  2. 贵州黎阳航空发动机公司,贵阳,561102
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2009
- 稿件说明：
移动端阅览
LU Feng, HUANG Jin-quan, CHEN Yu. Research on performance fault fusion diagnosis of aero-engine component[J]. 2009, 24(7).
DOI：

LU Feng, HUANG Jin-quan, CHEN Yu. Research on performance fault fusion diagnosis of aero-engine component[J]. 2009, 24(7). DOI：

摘要

提出一种对航空发动机部件性能蜕化进行融合诊断的模糊决策融合机制

以改善单独采用基于模型和基于数据的部件性能故障诊断的漏诊与误诊的问题.传感器测量值同时输入到基于自适应模型的和基于数据的诊断模块中

分别利用卡尔曼滤波算法和最小二乘支持向量机(LSSVM)对主要部件故障性能参数估计

再利用模糊逻辑调整决策权重以进行D-S(Dempster-Shafer)证据理论的决策融合诊断.以某型涡扇发动机为对象进行单部件和双部件蜕化仿真研究表明

与单独使用基于模型和基于数据的诊断方法相比

采用决策融合机制有效地提高了部件故障诊断精度.

Abstract

A method of engine component fault diagnosis based on fuzzy decision fusion was proposed to improve the accuracy of component fault diagnosis

and reduce the probability of false alarming and missing detection.By using Kalman filter algorithm and least square support vector machine(LSSVM)

the sensor outputs were both sent to two different modules —— self-tuning model and data-based diagnostic module —— to estimate the health parameters.Fuzzy algorithm was operated to adjust the weights of two modules

and then the fault fusion decision was made by D-S(Dempster-Shafer) theory.Simulation on a turbofan engine shows that

as compared to these two modules

this method has better accuracy of fault diagnosis.

关键词

Keywords

references

Views

466

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Approach for incipient fusion fault diagnosis of rolling bearing of aero-engine based on regularized multiple kernel discriminant analysis

Condition monitoring of aero-engine based on neural network and fuzzy logic

Study on fusion diagnosis techniques of wear faults in synthesized monitoring of aero-engine

Development path and future trend of carrier-based advanced trainer engine

Thermal protection effectiveness of thermal barrier coatings in turbine blade applications

Related Author

HAO Teng-fei

CHEN Guo

LIAO Zhong-kun

CHENG Xiao-yong

ZHAO Bin

WANG Hai-fei

SHAN Xiao-ming

SONG Yun-feng

Related Institution

College of Civil Aviation, Nanjing University of Aeronautics and Astronautics

Beijing Power Machinery Research Institute, Aerodynamic Missile Technology Academy, China Aerospace Science and Industry Corporation

China Aviation Powerplant Research Institute, Aviation Industry Corporation of China

Beijing Aeronautical Technology Research Center

Civil Aviation College, Nanjing 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