| 基于BP网络的火力发电厂锅炉管壁温度预测研究 |
| |
| 引用本文： | 王鹏.基于BP网络的火力发电厂锅炉管壁温度预测研究[J].人天科学研究,2009(9). |
| |
| 作者姓名： | 王鹏 |
| |
| 作者单位： | 张家港沙洲电力有限公司 |
| |
| 摘 要： | 锅炉管壁超温现象的存在严重影响了锅炉的安全及可靠性。在对BP神经网络简介的基础上,详细研究了基于BP的锅炉管壁温度预测的数字模型,并通过应用样本的获取,分析BP神经网络在锅炉管壁温度预测方面的设计、不足及具体的参数选择,从而降低了火力发电厂锅炉管壁超温情况的发生,延长了锅炉的使用寿命。
|
| 关 键 词： | 神经网络 管壁超温 温度预测 |
Research of Thermal Power Plant Boiler Wall Temperature Forecast Based on BP |
| |
| Authors: | Wang Peng |
| |
| Abstract: | Over-temperature boiler wall of the existence of the phenomenon has seriously affected the safety and reliability of the boiler.In this paper,BP neural network in the Introduction,based on a detailed study of BP based on the temperature of the boiler wall forecast model,and through the application of sample acquisition,analysis of BP neural network prediction of temperature in the boiler wall design,and lack of specific choice of parameters,thereby reducing the over-temperature thermal power plant boiler wa... |
| |
| Keywords: | Neural Network Wall Over-temperature Temperature Prediction |
| 本文献已被 维普 等数据库收录！ |
|
