|Table of Contents|

Online Prediction and Calculation of Steam Turbine Exhaust Enthalpy Based on PSO-Elman Neural Network(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2009年02期
Page:
35-40
Research Field:
Publishing date:

Info

Title:
Online Prediction and Calculation of Steam Turbine Exhaust Enthalpy Based on PSO-Elman Neural Network
Author(s):
Pu Jian; Cheng Jing
School of Power and Engineering,Nanjing Normal University,Nanjing 210042,China
Keywords:
steam turb ine;  exhaust enthalpy;  E lm an neura l ne tw ork;  particle sw arm optim ization a lgor ithm;  on line pred
icting
PACS:
TK262
DOI:
-
Abstract:
A new a lgor ithm o f online pred icting fo r the exhaust enthalpy in the steam turb ine based on E lman neura l ne-t w ork wh ich is one of dynam ica l recurrent neural ne tw orks is introduced in this paper. The on line ca lculations for entha-l py o f the last stage steam extraction and the exhaust of tw o sets a rem ade and the exam ples show tha t thism e thod can accurate ly predict the steam turb ine exhaust en tha lpy and tha t them ode l is sim ple, accurate and convergence, thus prov ing to be an effective and feasible predictingm e thod. A t the sam e tim e, according to the sho rtcom ing of BP a lgo rithm runn ing into g lobal m im um va lue, the initialw e ights of E lm an neural netwo rk are evolved by the cha racte ristics of g loba l optim iza tion o f pa rtic le swarm optim ization a lgor ithm. The s imu la tion resu lts show that PSO E lman neural netwo rk can be used to estab lish a predicting model w ith higher prediction prec ision.

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Last Update: 2013-04-23