Neural-network based analysis and prediction of a compressor's characteristic performance map

被引：80
|
作者：
Yu, Youhong
Chen, Lingen [1 ]
Sun, Fengrui
Wu, Chih
机构：
[1] Naval Univ Engn, Postgrad Sch, Wuhan 430033, Peoples R China
[2] USN Acad, Dept Mech Engn, Annapolis, MD 21402 USA
来源：
APPLIED ENERGY | 2007年 / 84卷 / 01期
关键词：
compressor; characteristic map; neural-network; performance prediction;
D O I：
10.1016/j.apenergy.2006.04.005
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The difficulties, due to a lack of information about stage-by-stage axial-compressor performance, are analyzed. To overcome these issues, a three-layer back-propagation neural-network applied Leven berg-Marquardt algorithm is presented and discussed. The experimental data provided by manufacturers are used for the neural-network training. Through twice training, the compressor's performance map can be predicted. The results can be used for the development of an off-design model or overall dynamic simulation of the behaviour of a gas-turbine power-plant. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码：48 / 55
页数：8
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