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Least Squares Support Vector Machine Based Real-Time Fault Diagnosis Model for Gas Path Parameters of Aero Engines

WANG Xu-hui HUANG Sheng-guo WANG Ye LIU Yong-jian SHU Ping

西南交通大学学报(英文版)2009，Vol.17Issue(1)：22-26,5.

Least Squares Support Vector Machine Based Real-Time Fault Diagnosis Model for Gas Path Parameters of Aero Engines

WANG Xu-hui ¹HUANG Sheng-guo ¹WANG Ye ¹LIU Yong-jian ²SHU Ping³

作者信息

1. College of Civil Aviation,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China
2. General Civil Aviation Administration of China,Center of Aviation Safety Technology Aviation Safety Institute Technology Lab,Beijing 100028,China
3. General Civil Aviation Administration of China,Center of Aviation Safety Technology Aviation Safety Instit
折叠

摘要

Abstract

Least squares support vector machine (LS-SVM) is applied in gas path fault diagnosis for aero engines.Firstly,the deviation data of engine cruise are analyzed.Then,model selection is conducted using pattern search method.Finally,by decoding aircraft communication addressing and reporting system (ACARS) report,a real-time cruise data set is acquired,and the diagnosis model is adopted to process data.In contrast to the radial basis function (RBF) neutral network,LS-SVM is more suitable for real-time diagnosis of gas turbine engine.

关键词

Engine diagnosis/Gas path/Least squares support vector machine/Pattern search

Key words

Engine diagnosis/Gas path/Least squares support vector machine/Pattern search

分类

交通工程

引用本文复制引用

WANG Xu-hui,HUANG Sheng-guo,WANG Ye,LIU Yong-jian,SHU Ping..Least Squares Support Vector Machine Based Real-Time Fault Diagnosis Model for Gas Path Parameters of Aero Engines[J].西南交通大学学报(英文版),2009,17(1):22-26,5.

基金项目

The National High Technology Research and Development Program of China (No. 2006AA12A108) （No. 2006AA12A108）

西南交通大学学报(英文版)

ISSN：2662-4745

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