The application of the improved genetic algorithm in the aeroengine fault diagnosis

被引：0
|
作者：
Liu, Xiaobo [1 ]
Tu, Junchao [2 ]
Shen, Liangni [3 ]
机构：
[1] Nanchang Hangkong Univ, Minist Educ, Key Lab Nondestruct Testing, Nanchang 330063, Peoples R China
[2] Nanchang Hangkong Univ, Aeronaut Mfg Engn Coll, Nanchang 330063, Peoples R China
[3] Nanchang Hangkong Univ, Aircraft Engn Coll, Nanchang 330063, Peoples R China
来源：
ADVANCES IN MECHATRONICS, AUTOMATION AND APPLIED INFORMATION TECHNOLOGIES, PTS 1 AND 2 | 2014年 / 846-847卷
关键词：
aeroengine; improved genetic algorithm; fault diagnosis;
D O I：
10.4028/www.scientific.net/AMR.846-847.840
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A improved genetic algorithm is proposed based on a new fitness function in allusion to the problem that the traditional genetic algorithm is not fully consider the knowledge of the problem itself. The improved genetic algorithm is used to analyze the fault feature, to extract the fault and remove redundant characteristic parameters for the fault classification and calculation. The diagnosis example shows that the method has faster convergence speed and can be effective for fault identification.
引用
收藏
页码：840 / +
页数：2
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